CN114374571A - Virtual map-based voice chat room health index monitoring method and device - Google Patents
Virtual map-based voice chat room health index monitoring method and device Download PDFInfo
- Publication number
- CN114374571A CN114374571A CN202111634356.7A CN202111634356A CN114374571A CN 114374571 A CN114374571 A CN 114374571A CN 202111634356 A CN202111634356 A CN 202111634356A CN 114374571 A CN114374571 A CN 114374571A
- Authority
- CN
- China
- Prior art keywords
- chat room
- voice chat
- determining
- block
- language
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000036541 health Effects 0.000 title claims abstract description 219
- 238000012544 monitoring process Methods 0.000 title claims abstract description 165
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000012986 modification Methods 0.000 claims description 149
- 230000004048 modification Effects 0.000 claims description 149
- 230000001960 triggered effect Effects 0.000 claims description 29
- 238000012795 verification Methods 0.000 claims description 18
- 230000015654 memory Effects 0.000 claims description 17
- 238000013507 mapping Methods 0.000 claims description 7
- 230000009467 reduction Effects 0.000 claims description 7
- 230000008859 change Effects 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 5
- 230000002194 synthesizing effect Effects 0.000 claims description 5
- 238000001514 detection method Methods 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 9
- 238000004590 computer program Methods 0.000 description 5
- 238000012806 monitoring device Methods 0.000 description 3
- 239000007787 solid Substances 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/16—Arrangements for providing special services to substations
- H04L12/18—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast
- H04L12/1813—Arrangements for providing special services to substations for broadcast or conference, e.g. multicast for computer conferences, e.g. chat rooms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9536—Search customisation based on social or collaborative filtering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses a method and a device for monitoring health index of a voice chat room based on a virtual map, wherein the method comprises the following steps: detecting a voice chat room creating instruction, determining a voice chat room identifier and creating a voice chat room; determining the voice chat room attribute, and generating target information according to the voice chat room identifier and the voice chat room attribute; matching the block identification according to the target information; determining a first block coordinate area in the voice chat room monitoring map according to the block identifier, and determining a voice chat room coordinate point according to the target information; displaying the voice chat room in a voice chat room monitoring map according to the first block coordinate area and the voice chat room coordinate point; determining and displaying a first health index of the chat room, and/or determining and displaying a second health index of the target block. Therefore, the method and the device can be beneficial to managers to monitor the language chat rooms more pertinently and pay attention to the language chat rooms with potential risks in advance, so that the language chat room monitoring accuracy is improved, the auditing efficiency of the chat contents of the language chat rooms is improved, and the language chat room monitoring efficiency is further improved.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a method and a device for monitoring health index of a voice chat room based on a virtual map.
Background
With the rapid development of the internet and information technology, it is very common for people to perform online friend-making, online chat and other interactive behaviors through the network. Specifically, people can conduct multi-person synchronous chat discussion in the language chat room by establishing the language chat room, and great convenience is provided for communication among net friends.
However, the reality shows that, because the network chat surpasses the time-space barrier, the margin is fuzzy, and the network friends are diverse, the phenomenon that some network friends scatter some boring and harmful information to achieve the illegal purpose easily occurs, and further the content health and information safety of the online language chat room chat are reduced, and in order to solve the current problems of the online language chat room, related management personnel are required to monitor the online language chat room. Because the number of the voice chat rooms is large and the chat contents of users in the voice chat rooms are complicated, monitoring a large number of online voice chat rooms by managers has the problem of low monitoring efficiency. Therefore, it is very important to provide a method for improving the monitoring efficiency of the voice chat room.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method and a device for monitoring the health index of a voice chat room based on a virtual map, which can improve the monitoring efficiency of the voice chat room.
In order to solve the technical problem, a first aspect of the present invention discloses a virtual map-based method for monitoring a health index of a voice chat room, the method including:
detecting a voice chat room creating instruction triggered by a user, determining a corresponding voice chat room identifier according to the voice chat room creating instruction, and creating a voice chat room corresponding to the voice chat room identifier; the voice chat room creating instruction comprises the voice chat room identification;
determining a language chat room attribute corresponding to the language chat room, and generating target information corresponding to the language chat room according to the language chat room identifier and the language chat room attribute;
matching a block identifier corresponding to the target information according to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map;
according to the block identification, determining a first block coordinate area corresponding to the block identification in the voice chat room monitoring map, and according to the target information, determining a voice chat room coordinate point corresponding to the voice chat room;
displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the coordinate point of the voice chat room is positioned in the first block coordinate area;
determining a first health index corresponding to the language chat room, and displaying the first health index corresponding to the language chat room; and/or the presence of a gas in the gas,
and determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
As an optional implementation manner, in the first aspect of the present invention, the determining, according to the target information, a chat room coordinate point corresponding to the chat room includes:
vectorizing the target information by combining a preset word vector dimension reduction algorithm to obtain a chat room information vector corresponding to the target information; the voice chat room information vector is used for determining the specific position of a coordinate point corresponding to the voice chat room;
and mapping the information vector of the language chat room to obtain a coordinate point of the language chat room corresponding to the language chat room.
As an optional implementation manner, in the first aspect of the present invention, the determining a chat room attribute corresponding to the chat room includes:
for each preset attribute identification information set, calculating the matching degree of the language chat room identification and each attribute identification information set; the attribute identification information set comprises an attribute identification uniquely corresponding to the attribute identification information set and at least one piece of feature information corresponding to the attribute identification;
screening the highest matching degree of which the matching degree is greater than or equal to a preset matching degree threshold value from the matching degree of the voice chat room identifier and each attribute identifier information set, determining a target attribute identifier information set corresponding to the highest matching degree, and determining an attribute identifier uniquely corresponding to the target attribute identifier information set as a voice chat room attribute corresponding to the voice chat room; alternatively, the first and second electrodes may be,
acquiring a user set corresponding to the language chat room, wherein the user set comprises one or more users who join the language chat room;
for each of the users in the set of users, determining a historical violation by the user; the historical violation condition comprises historical violation content of the user and historical violation data of the user;
analyzing the historical violation condition to obtain the sub-health degree corresponding to the user;
synthesizing all the sub-health degrees to obtain the historical health degree corresponding to the language chat room;
determining the voice chat room attribute corresponding to the voice chat room according to the historical health degree corresponding to the voice chat room;
wherein, for each preset attribute identification information set, calculating the matching degree of the chat room identifier and each attribute identification information set, and the method comprises the following steps:
and for each preset attribute identification information set, calculating the matching degree of the voice chat room identification and each feature information in the attribute identification information set, and calculating the matching degree of the voice chat room identification and the attribute identification information set according to the matching degree of the voice chat room identification and each feature information in the attribute identification information set.
As an optional implementation manner, in the first aspect of the present invention, the determining the first health index corresponding to the chat room includes:
for each user in the user set, acquiring a user violation condition corresponding to the user;
determining the violation content type corresponding to the user and violation data corresponding to the violation content type according to the violation condition of the user;
determining historical violation levels corresponding to the users, and determining health weights corresponding to the violation content types according to the historical violation levels and the violation conditions of the users;
calculating a user health index corresponding to the user according to the health weight corresponding to each violation content type and the violation data;
and calculating a first health index corresponding to the voice chat room according to all the user health indexes.
As an optional implementation manner, in the first aspect of the present invention, before the determining the first health index corresponding to the chat room, the method further includes:
monitoring the data change condition corresponding to the language chat room to obtain real-time data corresponding to the language chat room;
judging whether the voice chat room meets the preset health index condition needing to be determined or not according to the real-time data;
when the fact that the voice chat room meets the health index condition needing to be determined is judged, the operation of determining a first health index corresponding to the voice chat room is executed;
wherein, the judging whether the language chat room meets the preset health index condition needing to be determined according to the real-time data comprises the following steps:
when the real-time data comprises user data corresponding to the language chat room, determining the number of the illegal accumulated sentences corresponding to the language chat room, and judging whether the number of the illegal accumulated sentences is greater than or equal to a predetermined threshold of the number of the illegal accumulated sentences;
when the number of the sentences is judged to be more than or equal to the threshold value of the number of the sentences, determining that the language chat room meets the preset condition of health index to be determined;
when the real-time data comprises time data corresponding to the language chat room, determining index display duration corresponding to the language chat room; the index display duration is the duration from the determined moment of the last first health index corresponding to the voice chat room to the current moment;
judging whether the index display duration is greater than or equal to a predetermined index display duration threshold or not;
and when the index display duration is judged to be greater than or equal to the index display duration threshold, determining that the voice chat room meets the condition of the health index to be determined.
As an alternative implementation, in the first aspect of the present invention, the method further includes:
judging whether region modification operation needs to be carried out on the second block coordinate region; the second block coordinate area is a certain block coordinate area in the voice chat room monitoring map; the region modification operation comprises a region position modification operation and/or a region area modification operation;
when the area modification operation needs to be carried out on the second target block coordinate area, carrying out the area modification operation on the second block coordinate area to obtain a modified second block coordinate area;
determining a target block identifier corresponding to the second block coordinate area, and updating the modified second block coordinate area into a block coordinate area corresponding to the target block identifier;
wherein the determining whether the area modification operation needs to be performed on the second block coordinate area includes:
determining parameter information of the second block coordinate area based on the voice chat room monitoring map; the parameter information comprises an area parameter corresponding to the second block coordinate area and a voice chat room parameter corresponding to the second block coordinate area;
analyzing the parameter information to obtain a parameter relation corresponding to the region area parameter and the voice chat room parameter;
determining a telescopic coefficient corresponding to the second block coordinate area according to the parameter relation;
judging whether the expansion coefficient is larger than or equal to a predetermined expansion coefficient threshold value or not;
when the expansion coefficient is judged to be larger than or equal to the expansion coefficient threshold value, determining that the area modification operation needs to be carried out on the second block coordinate area; or the like, or, alternatively,
detecting whether an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received;
and when the area modification instruction triggered by the monitoring personnel aiming at the second block coordinate area is detected to be received, determining that the area modification operation needs to be carried out on the second block coordinate area.
As an alternative implementation, in the first aspect of the present invention, the method further includes:
when the area modification instruction triggered by the monitoring personnel aiming at the second block coordinate area is detected to be received, judging whether the user identification of the monitoring personnel included in the area modification instruction meets the predetermined modifiable condition corresponding to the second block coordinate area;
when the user identification is judged to meet the modifiable condition, executing the area modification operation on the second block coordinate area required by the determination;
when the user identification is judged not to meet the modifiable condition, outputting a corresponding modification permission verification instruction according to the second block coordinate area and the target block identification;
receiving a password aiming at the modification permission verification instruction sent by the monitoring personnel, and judging whether the password is consistent with a preset target password aiming at the modification permission verification instruction;
and when the password is judged to be consistent with the target password, determining that the monitoring personnel has the authority to modify the second block coordinate area, and executing the determination to perform the area modification operation on the second block coordinate area.
The invention discloses a virtual map-based voice chat room health index monitoring device, which comprises:
the detection module is used for detecting a voice chat room creating instruction triggered by a user; the voice chat room creating instruction comprises the voice chat room identification;
the determining module is used for determining a corresponding language chat room identifier according to the language chat room creating instruction and creating a language chat room corresponding to the language chat room identifier;
the determining module is further configured to determine a language chat room attribute corresponding to the language chat room;
the information generation module is used for generating target information corresponding to the language chat room according to the language chat room identifier and the language chat room attribute;
the matching module is used for matching the block identifier corresponding to the target information according to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map;
the determining module is further configured to determine, according to the block identifier, a first block coordinate area corresponding to the block identifier in the voice chat room monitoring map, and determine, according to the target information, a voice chat room coordinate point corresponding to the voice chat room;
the display module is used for displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the coordinate point of the voice chat room is positioned in the first block coordinate area;
the display module is used for determining a first health index corresponding to the language chat room and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
As an optional implementation manner, in the second aspect of the present invention, the manner in which the determining module determines the chat room coordinate point corresponding to the chat room according to the target information specifically includes:
vectorizing the target information by combining a preset word vector dimension reduction algorithm to obtain a chat room information vector corresponding to the target information; the voice chat room information vector is used for determining the specific position of a coordinate point corresponding to the voice chat room;
and mapping the information vector of the language chat room to obtain a coordinate point of the language chat room corresponding to the language chat room.
As an optional implementation manner, in the second aspect of the present invention, the manner of determining the chat room attribute corresponding to the chat room by the determining module specifically includes:
for each preset attribute identification information set, calculating the matching degree of the language chat room identification and each attribute identification information set; the attribute identification information set comprises an attribute identification uniquely corresponding to the attribute identification information set and at least one piece of feature information corresponding to the attribute identification;
screening the highest matching degree of which the matching degree is greater than or equal to a preset matching degree threshold value from the matching degree of the voice chat room identifier and each attribute identifier information set, determining a target attribute identifier information set corresponding to the highest matching degree, and determining an attribute identifier uniquely corresponding to the target attribute identifier information set as a voice chat room attribute corresponding to the voice chat room; alternatively, the first and second electrodes may be,
acquiring a user set corresponding to the language chat room, wherein the user set comprises one or more users who join the language chat room;
for each of the users in the set of users, determining a historical violation by the user; the historical violation condition comprises historical violation content of the user and historical violation data of the user;
analyzing the historical violation condition to obtain the sub-health degree corresponding to the user;
synthesizing all the sub-health degrees to obtain the historical health degree corresponding to the language chat room;
determining the voice chat room attribute corresponding to the voice chat room according to the historical health degree corresponding to the voice chat room;
the method for calculating the matching degree between the chat room identifier and each attribute identifier set by the determining module for each preset attribute identifier set specifically includes:
and for each preset attribute identification information set, calculating the matching degree of the voice chat room identification and each feature information in the attribute identification information set, and calculating the matching degree of the voice chat room identification and the attribute identification information set according to the matching degree of the voice chat room identification and each feature information in the attribute identification information set.
As an optional implementation manner, in the second aspect of the present invention, the manner in which the display module determines the first health index corresponding to the chat room specifically includes:
for each user in the user set, acquiring a user violation condition corresponding to the user;
determining the violation content type corresponding to the user and violation data corresponding to the violation content type according to the violation condition of the user;
determining historical violation levels corresponding to the users, and determining health weights corresponding to the violation content types according to the historical violation levels and the violation conditions of the users;
calculating a user health index corresponding to the user according to the health weight corresponding to each violation content type and the violation data;
and calculating a first health index corresponding to the voice chat room according to all the user health indexes.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:
the monitoring module is used for monitoring the data change condition corresponding to the language chat room before the display module determines the first health index corresponding to the language chat room to obtain real-time data corresponding to the language chat room;
the first judging module is used for judging whether the voice chat room meets the preset health index condition needing to be determined or not according to the real-time data, and when the judging result is yes, the display module is triggered to execute the operation of determining the first health index corresponding to the voice chat room;
the mode that the first judging module judges whether the voice chat room meets the preset health index condition needing to be determined according to the real-time data specifically comprises the following steps:
when the real-time data comprises user data corresponding to the language chat room, determining the number of the illegal accumulated sentences corresponding to the language chat room, and judging whether the number of the illegal accumulated sentences is greater than or equal to a predetermined threshold of the number of the illegal accumulated sentences;
when the number of the sentences is judged to be more than or equal to the threshold value of the number of the sentences, determining that the language chat room meets the preset condition of health index to be determined;
when the real-time data comprises time data corresponding to the language chat room, determining index display duration corresponding to the language chat room; the index display duration is the duration from the determined moment of the last first health index corresponding to the voice chat room to the current moment;
judging whether the index display duration is greater than or equal to a predetermined index display duration threshold or not;
and when the index display duration is judged to be greater than or equal to the index display duration threshold, determining that the voice chat room meets the condition of the health index to be determined.
As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:
the second judgment module is used for judging whether the area modification operation needs to be carried out on the second block coordinate area or not; the second block coordinate area is a certain block coordinate area in the voice chat room monitoring map; the region modification operation comprises a region position modification operation and/or a region area modification operation;
the area modification module is used for performing the area modification operation on the second block coordinate area to obtain a modified second block coordinate area when the second judgment module judges that the area modification operation needs to be performed on the second target block coordinate area;
the determining module is further configured to determine a target block identifier corresponding to the second block coordinate area;
the updating module is used for updating the modified second block coordinate area into a block coordinate area corresponding to the target block identifier;
the manner of determining whether the second block coordinate region needs to be subjected to the region modification operation by the second determining module specifically includes:
determining parameter information of the second block coordinate area based on the voice chat room monitoring map; the parameter information comprises an area parameter corresponding to the second block coordinate area and a voice chat room parameter corresponding to the second block coordinate area;
analyzing the parameter information to obtain a parameter relation corresponding to the region area parameter and the voice chat room parameter;
determining a telescopic coefficient corresponding to the second block coordinate area according to the parameter relation;
judging whether the expansion coefficient is larger than or equal to a predetermined expansion coefficient threshold value or not;
when the expansion coefficient is judged to be larger than or equal to the expansion coefficient threshold value, determining that the area modification operation needs to be carried out on the second block coordinate area; or the like, or, alternatively,
detecting whether an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received;
and when the area modification instruction triggered by the monitoring personnel aiming at the second block coordinate area is detected to be received, determining that the area modification operation needs to be carried out on the second block coordinate area.
As an optional implementation manner, in the second aspect of the present invention, the second determining module is further configured to determine, when it is detected that the area modification instruction triggered by the monitoring staff for the second block coordinate area is received, whether a user identifier of the monitoring staff included in the area modification instruction meets a predetermined modification condition corresponding to the second block coordinate area; when the user identification is judged to meet the modifiable condition, executing the area modification operation on the second block coordinate area required by the determination; when the user identification is judged not to meet the modifiable condition, outputting a corresponding modification permission verification instruction according to the second block coordinate area and the target block identification; receiving a password aiming at the modification permission verification instruction sent by the monitoring personnel, and judging whether the password is consistent with a preset target password aiming at the modification permission verification instruction; and when the password is judged to be consistent with the target password, determining that the monitoring personnel has the authority to modify the second block coordinate area, and executing the determination to perform the area modification operation on the second block coordinate area.
The invention discloses a third aspect of the invention discloses another virtual map-based voice chat room health index monitoring device, which comprises:
a memory storing executable program code;
a processor coupled with the memory;
the processor calls the executable program code stored in the memory to execute the virtual map-based voice chat room health index monitoring method disclosed by the first aspect of the invention.
The invention discloses a computer-storable medium which stores computer instructions, wherein the computer instructions are used for executing the method for monitoring the health index of the voice chat room based on the virtual map, which is disclosed by the first aspect of the invention, when the computer instructions are called.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
in the embodiment of the invention, a voice chat room creating instruction triggered by a user is detected, a corresponding voice chat room identifier is determined according to the voice chat room creating instruction, and a voice chat room corresponding to the voice chat room identifier is created; the language chat room creating instruction comprises the language chat room identification; determining a language chat room attribute corresponding to the language chat room, and generating target information corresponding to the language chat room according to the language chat room identifier and the language chat room attribute; matching the block identifier corresponding to the target information according to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map; according to the block identification, determining a first block coordinate area corresponding to the block identification in the voice chat room monitoring map, and determining a voice chat room coordinate point corresponding to the voice chat room according to the target information; displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the coordinate point of the voice chat room is positioned in the first block coordinate area; determining a first health index corresponding to the language chat room, and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block. Therefore, by the method and the device, the block identifier corresponding to the voice chat room can be matched according to the determined attribute of the voice chat room and the determined target information of the voice chat room, the voice chat room is displayed in the block coordinate area corresponding to the block identifier in a coordinate point mode based on the voice chat room monitoring map, the first health index corresponding to the voice chat room and the second health index corresponding to the display block can be displayed, management personnel can monitor a large number of voice chat rooms in a targeted mode, attention can be paid to the voice chat rooms with potential risks by the management personnel in advance, the monitoring accuracy of the voice chat rooms is improved, the auditing efficiency of the contents of the voice chat rooms is improved, and the monitoring efficiency of the voice chat rooms is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for monitoring health index of a voice chat room based on a virtual map according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of another virtual map-based method for monitoring health indexes of a chat room according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a virtual map-based voice chat room health index monitoring apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of another virtual map-based chat room health index monitoring apparatus disclosed in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of another virtual map-based voice chat room health index monitoring apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The invention discloses a method and a device for monitoring health indexes of a language chat room based on a virtual map, which can match block identifications corresponding to the language chat room according to determined attributes of the language chat room and determined target information of the language chat room, display the language chat room in a block coordinate area corresponding to the block identifications in a coordinate point mode based on a language chat room monitoring map, display a first health index corresponding to the language chat room and a second health index corresponding to the block, facilitate management personnel to monitor a large number of language chat rooms in a more targeted mode and pay attention to the language chat rooms with potential risks in advance, improve monitoring accuracy of the language chat rooms, improve auditing efficiency of chat contents of the language chat rooms and further improve monitoring efficiency of the language chat rooms. The following are detailed below.
Example one
Referring to fig. 1, fig. 1 is a schematic flowchart illustrating a method for monitoring a health index of a voice chat room based on a virtual map according to an embodiment of the present invention. The method described in fig. 1 may be applied to a chat room monitoring system, and may also be applied to an intelligent monitoring terminal, which is not limited in the embodiment of the present invention. As shown in fig. 1, the virtual map-based voice chat room health index monitoring method includes the following operations:
101. and detecting a voice chat room creating instruction triggered by a user, determining a corresponding voice chat room identifier according to the voice chat room creating instruction, and creating a voice chat room corresponding to the voice chat room identifier.
In the embodiment of the present invention, optionally, the voice chat room creating instruction includes a voice chat room identifier. Optionally, the chat room identifier may include one or more of a chat room name, a chat room serial number, a chat room code, and the like, which is not limited in the embodiment of the present invention. Optionally, the chat room identifier may include kanji characters and/or non-kanji characters, which is not limited in the embodiment of the present invention. Optionally, the chat room code may include one or more items of chat room creation information, such as a chat room creation time, a chat room creation user information, a chat room creation device information, and a chat room creation serial number, which is not limited in the embodiment of the present invention.
102. And determining the voice chat room attribute corresponding to the voice chat room, and generating target information corresponding to the voice chat room according to the voice chat room identifier and the voice chat room attribute.
In the embodiment of the present invention, optionally, the target information may be a text formed by combining a chat room identifier and a chat room attribute, for example, when the chat room identifier is "song-in" and the chat room attribute is "music", a text form of the corresponding target information may be "song-in | music" or "song-in | music".
103. And matching the block identifier corresponding to the target information according to the target information.
In the embodiment of the present invention, optionally, the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map. Optionally, the block identifier may include a chinese character and/or a non-chinese character, and the embodiment of the present invention is not limited.
104. And determining a first block coordinate area corresponding to the block identifier in the voice chat room monitoring map according to the block identifier, and determining a voice chat room coordinate point corresponding to the voice chat room according to the target information.
In the embodiment of the present invention, optionally, the health map of the voice chat room may include one or more block coordinate areas, which is not limited in the embodiment of the present invention.
105. And displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room.
In the embodiment of the present invention, optionally, the corresponding position of the voice chat room coordinate point is located in the first block coordinate area. Alternatively, the specific pattern of the coordinate points may be a solid circle pattern (e.g., ●), or may be other solid patterns (e.g., house pattern, solid triangle pattern, tangle-solidup, etc.), or may be a hollow circle pattern (e.g., O), or may be other hollow patterns (e.g., hollow triangle pattern, Delta, etc.), and the embodiment of the present invention is not limited thereto.
106. Determining a first health index corresponding to the language chat room, and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
In this embodiment of the present invention, optionally, the display manner corresponding to the first health index may include one or more of a line graph display manner, a bar graph display manner, a pie graph display manner, a bar graph display manner, a scatter diagram display manner, a histogram display manner, a combination diagram display manner, and the like, which is not limited in this embodiment of the present invention. Optionally, the display manner corresponding to the second health index may include one or more of a line graph display manner, a bar graph display manner, a pie graph display manner, a bar graph display manner, a scatter diagram display manner, a histogram display manner, a combination diagram display manner, and the like, and the embodiment of the present invention is not limited.
In the embodiment of the present invention, further optionally, the determining the second health index corresponding to the target block specifically includes:
for each language chat room in a first block coordinate area corresponding to the target block, determining a first health index of the language chat room, and determining a language chat room weight corresponding to the language chat room; and calculating a second health index corresponding to the target block according to all the first health indexes and the weight of the language chat room corresponding to each language chat room.
In the embodiment of the present invention, further optionally, the method may further include the following steps:
judging whether the second health index is larger than or equal to a health index threshold corresponding to a predetermined first block coordinate area; when the second health index is judged to be larger than or equal to the health index threshold value, outputting an early warning prompt; the early warning prompt is used for prompting managers that the risk index of the first block coordinate area is high, and the first block coordinate area needs to be checked so as to pay attention to the first block coordinate area in time.
Therefore, according to the optional embodiment, the second health index corresponding to the block can be determined according to the weight of the different language chat rooms and the first health index of the different language chat rooms, and the accuracy and the referential performance of the determined second health index can be improved; when the second health index is larger than or equal to the health index threshold value, the early warning prompt can be timely output, so that management personnel can timely pay attention to the block with the potential risk and the voice chat room in the block, real-time monitoring is realized, and the monitoring efficiency of the voice chat room is improved.
Therefore, by implementing the virtual map-based voice chat room health index monitoring method, the block identifications corresponding to the voice chat rooms can be matched according to the determined voice chat room attributes and the determined voice chat room target information, the voice chat rooms are displayed in the block coordinate areas corresponding to the block identifications in a coordinate point mode based on the voice chat room monitoring map, the first health indexes corresponding to the voice chat rooms and the second health indexes corresponding to the display blocks can be displayed, management personnel can monitor a large number of voice chat rooms in a targeted mode, the management personnel can pay attention to the voice chat rooms with potential risks, the monitoring accuracy of the voice chat rooms is improved, the auditing efficiency of the chat contents of the voice chat rooms is improved, and the monitoring efficiency of the voice chat rooms is improved.
In an optional embodiment, the determining a chat room coordinate point corresponding to the chat room according to the target information in step 105 may include:
combining a preset word vector dimension reduction algorithm, performing vectorization operation on the target information to obtain a voice chat room information vector corresponding to the target information; the voice chat room information vector is used for determining the specific position of a coordinate point corresponding to the voice chat room;
and mapping the information vector of the language chat room to obtain a language chat room coordinate point corresponding to the language chat room.
In this optional embodiment, it should be noted that the chat room information vector is specifically a two-dimensional coordinate corresponding to the target information, and one target information only has one corresponding two-dimensional coordinate.
Therefore, according to the optional embodiment, the voice chat room information vector of the target information and the coordinate point of the target information can be determined according to the word vector dimension reduction algorithm and the vector mapping operation, the accuracy and the reliability of the determined voice chat room information vector can be improved, the voice chat room coordinate point can be accurately displayed in a matched block coordinate area in the voice chat room monitoring map, and then follow-up management personnel can pay attention to the block and the voice chat room in the block in advance and monitor the block.
In an alternative embodiment, the determining the chat room attribute corresponding to the chat room in step 102 may include:
for each preset attribute identification information set, calculating the matching degree of the chat room identification and each attribute identification information set; the attribute identification information set comprises an attribute identification uniquely corresponding to the attribute identification information set and at least one piece of feature information corresponding to the attribute identification;
screening the highest matching degree of which the matching degree is greater than or equal to a preset matching degree threshold value from the matching degree of the language chat room identification and each attribute identification information set, determining a target attribute identification information set corresponding to the highest matching degree, and determining the attribute identification uniquely corresponding to the target attribute identification information set as the language chat room attribute corresponding to the language chat room; alternatively, the first and second electrodes may be,
acquiring a user set corresponding to the language chat room, wherein the user set comprises one or more users who join the language chat room;
for each user in the set of users, determining a historical violation condition of the user; the historical violation condition comprises historical violation content of the user and historical violation data of the user;
analyzing historical violation conditions to obtain sub-health degrees corresponding to the user;
synthesizing all the sub-health degrees to obtain the historical health degree corresponding to the language chat room;
and determining the voice chat room attribute corresponding to the voice chat room according to the historical health degree corresponding to the voice chat room.
In this optional embodiment, specifically, according to the chat room identifier and the attribute identifier information set, a Fewshot method is combined to determine the chat room attribute corresponding to the chat room. For example, when the language chat room is marked as "singing into a song", the attribute identification information set includes "music: [ 'singing', 'k singing', 'singing' ] "and" chat: and calculating The similarity between The language chat room identifier and each attribute identifier information set to obtain sim ═ 0.8,0.02], assuming that The predetermined Th _ news is 0.5, comparing The obtained sim _ music (0.8) > The _ news (0.5), determining that The attribute matched with The language chat room identifier is music, and The target information can be expressed as 'music in singing'.
Optionally, if the historical violation data of the user includes a larger number of violations, a higher violation frequency, and/or a higher weight of violation content types included in the historical violation content, the sub-health degree of the user is lower; if the sub-health degree of the user is lower, the historical health degree of the voice chat room is lower.
In this optional embodiment, further optionally, for each preset attribute identification information set, calculating a matching degree between the chat room identifier and each attribute identification information set may include:
and for each preset attribute identification information set, calculating the matching degree of the voice chat room identification and each feature information in the attribute identification information set, and calculating the matching degree of the voice chat room identification and the attribute identification information set according to the matching degree of the voice chat room identification and each feature information in the attribute identification information set.
In this optional embodiment, optionally, the determining manner of the matching degree between the language chat room identifier and the attribute identification information set may determine an average value corresponding to all the matching degrees according to the matching degree between the language chat room identifier and each feature information in the attribute identification information set, and determine the average value as the matching degree between the language chat room identifier and the attribute identification information set, or determine a sum value corresponding to all the matching degrees according to the matching degree between the language chat room identifier and each feature information in the attribute identification information set, and determine the sum value as the matching degree between the language chat room identifier and the attribute identification information set, or take a highest matching degree in the matching degrees between the language chat room identifier and each feature information in the attribute identification information set as the matching degree between the language chat room identifier and the attribute identification information set, or determine the matching degree between the language chat room identifier and the attribute identification information set by other determining manners, the embodiments of the present invention are not limited.
Therefore, the optional embodiment can determine the voice chat room attribute of the voice chat room by determining the matching degree of the voice chat room identifier and the attribute identification information set and determining the historical health degree of the voice chat room, and determine the matching degree of the voice chat room identifier and the attribute identification information set according to the matching degree of each feature information in the voice chat room identifier and the attribute identification information set, so that the diversity of the voice chat room attribute determining mode can be improved, the accuracy and reliability of the determined voice chat room attribute are improved, and the block identifier matched with the voice chat room can be determined more accurately.
In yet another alternative embodiment, the determining the first health index corresponding to the chat room in step 106 may include:
for each user in the user set, acquiring a user violation condition corresponding to the user;
determining the violation content type corresponding to the user and violation data corresponding to the violation content type according to the violation condition of the user;
determining a historical violation level corresponding to the user, and determining a health weight corresponding to each violation content type according to the historical violation level and the violation condition of the user;
calculating a user health index corresponding to the user according to the health weight corresponding to each violation content type and the violation data;
and calculating a first health index corresponding to the voice chat room according to all the user health indexes.
In this optional embodiment, optionally, the violation data may include one or more of a number of violations of the user, a violation duration of the user, a violation frequency of the user, a violation time interval of the user, and the like, and the embodiment of the present invention is not limited. Optionally, if the violation data includes a larger number of violations and/or a longer violation duration and/or a higher violation frequency and/or a shorter violation time interval, the user violation condition is more serious, and the embodiment of the present invention is not limited. Optionally, if the historical violation level of the user is higher and/or the violation situation of the user is more serious and/or the content violation situation of the user for a certain violation content type is more serious, the health weight of the corresponding violation content type is higher, which is not limited in the embodiment of the present invention. Optionally, if the health weight corresponding to the illegal content type is higher and/or the violation of the user is more serious, the user health index corresponding to the user is higher, and the embodiment of the present invention is not limited.
Therefore, the optional embodiment can determine the health weight of the violation content type according to the historical violation level and the violation condition of the user, and determine the health index of the user according to the health weight and the violation data, the health weight can be changed correspondingly according to the actual condition, the reliability and the integrity of the health parameters of the user can be improved, the real-time performance and the referential performance of the first health index of the language chat room can be further improved, and the monitoring efficiency and the monitoring timeliness of the language chat room can be improved.
Example two
Referring to fig. 2, fig. 2 is a schematic flowchart illustrating another method for monitoring a chat room health index based on a virtual map according to an embodiment of the present invention. The method described in fig. 2 may be applied to a chat room monitoring system, and may also be applied to an intelligent monitoring terminal, which is not limited in the embodiment of the present invention. As shown in fig. 2, the virtual map-based voice chat room health index monitoring method includes the following operations:
201. and detecting a voice chat room creating instruction triggered by a user, determining a corresponding voice chat room identifier according to the voice chat room creating instruction, and creating a voice chat room corresponding to the voice chat room identifier.
202. And determining the voice chat room attribute corresponding to the voice chat room, and generating target information corresponding to the voice chat room according to the voice chat room identifier and the voice chat room attribute.
203. And matching the block identifier corresponding to the target information according to the target information.
204. And determining a first block coordinate area corresponding to the block identifier in the voice chat room monitoring map according to the block identifier, and determining a voice chat room coordinate point corresponding to the voice chat room according to the target information.
205. And displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room.
206. And monitoring the data change condition corresponding to the voice chat room to obtain real-time data corresponding to the voice chat room.
In this embodiment of the present invention, optionally, the real-time data may include user data and/or time data, which is not limited in this embodiment of the present invention.
207. And judging whether the chat room meets the preset health index condition to be determined according to the real-time data, and if so, triggering to execute the step 208.
In the embodiment of the present invention, further optionally, when it is determined that the spoken chat room does not satisfy the preset health index condition that needs to be determined, step 206 is triggered to be executed again.
208. Determining a first health index corresponding to the language chat room, and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
In the embodiment of the present invention, for other descriptions of steps 201 to 205 and step 208, please refer to the detailed description of step 101 to step 106 in the first embodiment, which is not repeated herein.
Therefore, according to the embodiment of the invention, the block identifier corresponding to the voice chat room can be matched according to the determined attribute of the voice chat room and the determined target information of the voice chat room, the voice chat room is displayed in the block coordinate area corresponding to the block identifier in a coordinate point mode based on the voice chat room monitoring map, the first health index corresponding to the voice chat room and the second health index corresponding to the display block can be displayed, management personnel can be facilitated to monitor a large number of voice chat rooms in a targeted mode, the management personnel can pay attention to the voice chat rooms with potential risks in advance, the monitoring accuracy of the voice chat rooms is improved, the auditing efficiency of the contents of the voice chat rooms is improved, and the monitoring efficiency of the voice chat rooms is improved; in addition, whether the chat room meets the condition of the health index to be determined can be judged according to the real-time data, when the judgment result is yes, the subsequent operation of determining the health index is executed, the pertinence of the operation of determining the health index can be improved, the accuracy of determining the chat room with the potential dangerous words is improved, and therefore the efficiency of the operation of determining the health index is improved, and unnecessary resource waste is reduced.
In an alternative embodiment, the step 207 of determining whether the chat room meets the predetermined health index condition according to the real-time data may include:
when the real-time data comprises user data corresponding to the language chat room, determining the number of the illegal accumulated sentences corresponding to the language chat room, and judging whether the number of the illegal accumulated sentences is greater than or equal to a predetermined threshold value of the number of the illegal accumulated sentences;
when the number of the sentences is judged to be more than or equal to the threshold value of the number of the sentences, the confirmed language chat room meets the preset health index condition to be confirmed;
when the real-time data comprises time data corresponding to the voice chat room, determining index display duration corresponding to the voice chat room; the index display duration is the duration from the determined moment of the last first health index corresponding to the voice chat room to the current moment;
judging whether the index display duration is greater than or equal to a predetermined index display duration threshold or not;
and when the index display duration is judged to be greater than or equal to the index display duration threshold, determining that the voice chat room meets the condition of determining the health index.
In this optional embodiment, further optionally, when it is determined that the number of the sentences is less than the threshold value of the number of the sentences, it is determined that the chat room does not satisfy the condition of determining the health index; further optionally, when the index display duration is judged to be smaller than the index display duration threshold, it is determined that the voice chat room does not meet the condition of determining the health index.
In this optional embodiment, further optionally, when it is determined that the spoken chat room meets a preset condition of a health index to be determined, obtaining chat content corresponding to the spoken chat room, determining whether content matching the illegal content type exists in the chat content, and when it is determined that content matching the illegal content type exists in the chat content, performing the operation of determining the first health index corresponding to the spoken chat room; when judging that the chat content does not have the content matched with the illegal content type, executing the operation of judging whether the chat room meets the preset health index condition to be determined; the chat content corresponding to the voice chat room comprises chat content corresponding to one or more users who enter the voice chat room.
Therefore, the optional embodiment can determine whether the voice chat room meets the condition of the health index to be determined or not through two modes of user data and time data, so that the diversity and pertinence of the determination mode that the voice chat room meets the condition of the health index to be determined are improved, and the accuracy of the determined result that the voice chat room meets the condition is improved; in addition, when the fact that the voice chat room meets the condition that the health index needs to be determined is determined, whether illegal contents exist in the chat contents is judged firstly, and when the fact that illegal contents exist in the chat contents is determined, the subsequent operation of determining the first health index is executed, so that the health index determining mode can be enriched, the rationality of the operation of determining the health index is improved, the accuracy of determining the existence of the potential dangerous voice chat room is improved, and therefore the efficiency of monitoring the health index of the voice chat room is improved.
In another optional embodiment, the method may further comprise the steps of:
judging whether region modification operation needs to be carried out on the second block coordinate region; the second block coordinate area is a certain block coordinate area in the voice chat room monitoring map; the region modification operation comprises a region position modification operation and/or a region area modification operation;
when the second target block coordinate area is judged to be required to be subjected to area modification operation, performing area modification operation on the second block coordinate area to obtain a modified second block coordinate area;
and determining a target block identifier corresponding to the second block coordinate area, and updating the modified second block coordinate area into a block coordinate area corresponding to the target block identifier.
In this optional embodiment, optionally, the second block coordinate area and the first block coordinate area may be the same area, and the second block coordinate area and the first block coordinate area may also be different areas, which is not limited in the embodiment of the present invention. Further optionally, when it is determined that the area modification operation on the second block coordinate area is not required, the above-described determination is performed again to determine whether the area modification operation on the second block coordinate area is required.
Therefore, the optional embodiment can provide a mode for carrying out region modification on the block coordinate region in the voice chat room monitoring map, and carry out region position modification operation and region area modification operation on the block coordinate region according to actual conditions, so that the voice chat room health index monitoring mode can be enriched, the voice chat room monitoring efficiency and the voice chat room monitoring convenience can be improved, and the flexibility of the device can be improved.
In the optional embodiment, further optionally, the determining whether the area modification operation needs to be performed on the second block coordinate area may include:
determining parameter information of a second block coordinate area based on the voice chat room monitoring map; the parameter information comprises an area parameter corresponding to the second block coordinate area and a voice chat room parameter corresponding to the second block coordinate area;
analyzing the parameter information to obtain a parameter relation corresponding to the area parameter and the voice chat room parameter;
determining a telescopic coefficient corresponding to the second block coordinate area according to the parameter relation;
judging whether the expansion coefficient is larger than or equal to a predetermined expansion coefficient threshold value;
when the expansion coefficient is judged to be larger than or equal to the expansion coefficient threshold value, determining that the area modification operation needs to be carried out on the second block coordinate area; or the like, or, alternatively,
detecting whether an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received;
and when the fact that an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received is detected, determining that area modification operation needs to be carried out on the second block coordinate area.
In this optional embodiment, optionally, the manner of triggering generation of the area modification instruction may include one or more of a manner of scanning the specified two-dimensional code to trigger generation of the area modification instruction, a manner of clicking the specified link to trigger generation of the area modification instruction, a manner of clicking the specified area modification button to trigger generation of the area modification instruction, and the like, which is not limited in the embodiment of the present invention.
Further optionally, when the expansion coefficient is judged to be greater than or equal to the expansion coefficient threshold, determining that the second block coordinate region needs to be subjected to region modification operation, and determining a modified region area parameter according to the expansion coefficient and the region area parameter; and determining the modified second block coordinate region according to the modified region area parameter. Further optionally, when it is determined that the expansion coefficient is smaller than the expansion coefficient threshold, the operation of determining the parameter information of the second block coordinate area based on the voice chat room monitoring map is performed again. Further optionally, when it is detected that the area modification instruction triggered by the monitoring person for the second block coordinate area is not received, the above-mentioned operation of monitoring whether the area modification instruction triggered by the monitoring person for the second block coordinate area is received is performed again.
Therefore, according to the optional embodiment, the regional modification operation can be performed on the block coordinate region according to the expansion coefficient determined by the system or the regional modification instruction triggered by the manager, so that the diversity of the regional modification operation triggering mode is improved, the accuracy of the determined block coordinate region needing the regional modification operation is improved, the determination efficiency of the block coordinate region needing the regional modification operation is improved, and the method is favorable for enriching the chat room health index monitoring mode.
In yet another alternative embodiment, the method may further comprise the steps of:
when detecting that an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received, judging whether a user identifier of the monitoring person included in the area modification instruction meets a predetermined modifiable condition corresponding to the second block coordinate area;
when the user identification is judged to meet the modification condition, executing the determination to perform the area modification operation on the second block coordinate area;
when the user identification is judged not to meet the modifiable condition, outputting a corresponding modification permission verification instruction according to the second block coordinate area and the target block identification;
receiving a password aiming at a modification permission verification instruction sent by a monitoring person, and judging whether the password is consistent with a preset target password aiming at the modification permission verification instruction;
and when the password is judged to be consistent with the target password, determining that the monitoring personnel has the authority to modify the second block coordinate area, and executing the determination to perform area modification operation on the second block coordinate area.
In the optional embodiment, optionally, when the password is judged to be inconsistent with the target password, it is determined that the monitoring personnel does not have the authority to modify the coordinate area of the second block, and a prompt that the modification cannot be performed is output; the non-modifiable prompt is used for prompting that a monitoring person cannot perform area modification operation on the second block coordinate area. Optionally, the type of the verification password corresponding to the modified permission verification instruction includes a biometric password type and/or a non-biometric password type, which is not limited in the embodiment of the present invention. It should be noted that the password and the password threshold value are consistent, and the corresponding content and content format are consistent.
Further optionally, the manner of determining whether the user identifier of the monitoring person included in the area modification instruction meets the predetermined modification condition corresponding to the second block coordinate area specifically includes:
when the user identification comprises a user grade corresponding to the monitoring personnel, judging whether the user grade is greater than or equal to a user grade threshold value corresponding to a preset modifiable second block coordinate area, and when the user grade is greater than or equal to the user grade threshold value, determining that the user identification of the monitoring personnel, which is included in the area modification instruction, meets a modifiable condition corresponding to the preset second block coordinate area; when the user grade is judged to be smaller than the user grade threshold value, determining that the user identification does not meet the modifiable condition;
when the user identifier comprises modification data corresponding to the monitoring personnel, determining the modification times corresponding to the monitoring personnel, judging whether the modification times are less than or equal to a preset modification time threshold corresponding to the monitoring personnel, and when the modification times are judged to be less than or equal to the modification time threshold, determining that the user identifier meets the modification conditions; and when the modification times are judged to be larger than the modification time threshold value, determining that the user identification does not meet the modification conditions.
Therefore, the optional embodiment can determine whether the user meets the modifiable condition of the block coordinate area or not through two modes of the user identification and the modification permission verification password, and when the user meets the condition, the area modification operation can be performed on the block coordinate area, so that the diversity of the user area modification permission determination is improved, the accuracy of the determined user area modification permission result is improved, and the user area modification permission determination efficiency is improved; in addition, whether the user identification meets the modifiable condition can be determined according to the user grade and the data modification mode, the diversity and the flexibility of the mode of determining that the user identification meets the modifiable condition are improved, and the determination accuracy and the determination efficiency of the result that the user identification meets the modifiable condition are improved.
EXAMPLE III
Referring to fig. 3, fig. 3 is a schematic structural diagram of a virtual map-based apparatus for monitoring health index of a chat room. The device described in fig. 3 may be a chat room monitoring system or an intelligent monitoring terminal, and the embodiment of the present invention is not limited thereto. As shown in fig. 3, the virtual map-based voice chat room health index monitoring apparatus may include:
the detection module 301 is configured to detect a chat room creating instruction triggered by a user; the language chat room creating instruction comprises a language chat room identifier.
The determining module 302 is configured to determine a corresponding voice chat room identifier according to the voice chat room creating instruction, and create a voice chat room corresponding to the voice chat room identifier.
The determining module 302 is further configured to determine a chat room attribute corresponding to the chat room.
And the information generating module 303 is configured to generate target information corresponding to the voice chat room according to the voice chat room identifier and the voice chat room attribute.
A matching module 304, configured to match, according to the target information, the block identifier corresponding to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map.
The determining module 302 is further configured to determine, according to the block identifier, a first block coordinate area corresponding to the block identifier in the voice chat room monitoring map, and determine, according to the target information, a voice chat room coordinate point corresponding to the voice chat room.
The display module 305 is configured to display the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the voice chat room coordinate point is in the first block coordinate area.
The display module 306 is used for determining a first health index corresponding to the language chat room and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
It can be seen that, by implementing the virtual map-based voice chat room health index monitoring device described in fig. 3, the voice chat rooms can be displayed in the block coordinate areas corresponding to the block identifiers in the form of coordinate points according to the determined voice chat room attributes and the determined voice chat room target information, and the first health indexes corresponding to the voice chat rooms and the second health indexes corresponding to the display blocks can be displayed, so that management personnel can monitor a large number of voice chat rooms more pertinently, and can pay attention to the voice chat rooms with potential risks, the monitoring accuracy of the voice chat rooms is improved, the auditing efficiency of the voice chat room chat contents is improved, and the monitoring efficiency of the voice chat rooms is improved.
In an optional embodiment, the determining module 302 specifically determines the language chat room coordinate point corresponding to the language chat room according to the target information, including:
combining a preset word vector dimension reduction algorithm, performing vectorization operation on the target information to obtain a voice chat room information vector corresponding to the target information; the voice chat room information vector is used for determining the specific position of a coordinate point corresponding to the voice chat room;
and mapping the information vector of the language chat room to obtain a language chat room coordinate point corresponding to the language chat room.
It can be seen that, by implementing the device described in fig. 4, the voice chat room information vector of the target information and the coordinate point of the target information can be determined according to the word vector dimension reduction algorithm and the vector mapping operation, so that the accuracy and reliability of the determined voice chat room information vector can be improved, the voice chat room coordinate point can be accurately displayed in the matched block coordinate area in the voice chat room monitoring map, and further, the follow-up manager can pay attention to and monitor the block and the voice chat rooms in the block in advance.
In another optional embodiment, the determining module 302 specifically determines the language chat room attribute corresponding to the language chat room by:
for each preset attribute identification information set, calculating the matching degree of the chat room identification and each attribute identification information set; the attribute identification information set comprises an attribute identification uniquely corresponding to the attribute identification information set and at least one piece of feature information corresponding to the attribute identification;
screening the highest matching degree of which the matching degree is greater than or equal to a preset matching degree threshold value from the matching degree of the language chat room identification and each attribute identification information set, determining a target attribute identification information set corresponding to the highest matching degree, and determining the attribute identification uniquely corresponding to the target attribute identification information set as the language chat room attribute corresponding to the language chat room; alternatively, the first and second electrodes may be,
acquiring a user set corresponding to the language chat room, wherein the user set comprises one or more users who join the language chat room;
for each user in the set of users, determining a historical violation condition of the user; the historical violation condition comprises historical violation content of the user and historical violation data of the user;
analyzing historical violation conditions to obtain sub-health degrees corresponding to the user;
synthesizing all the sub-health degrees to obtain the historical health degree corresponding to the language chat room;
and determining the voice chat room attribute corresponding to the voice chat room according to the historical health degree corresponding to the voice chat room.
In this optional embodiment, the manner of calculating, by the determining module 302, for each preset attribute identification information set, the matching degree between the chat room identifier and each attribute identification information set specifically includes:
and for each preset attribute identification information set, calculating the matching degree of the voice chat room identification and each feature information in the attribute identification information set, and calculating the matching degree of the voice chat room identification and the attribute identification information set according to the matching degree of the voice chat room identification and each feature information in the attribute identification information set.
It can be seen that the device described in fig. 4 can also determine the attribute of the voice chat room by determining the matching degree of the voice chat room identifier and the attribute identification information set and determining the historical health degree of the voice chat room, and determine the matching degree of the voice chat room identifier and the attribute identification information set according to the matching degree of each feature information in the voice chat room identifier and the attribute identification information set, so that the diversity of the attribute mode of the voice chat room can be improved, the accuracy and reliability of the determined attribute of the voice chat room can be improved, and the block identifier matched with the voice chat room can be more accurately determined.
In yet another optional embodiment, the determining, by the presentation module 306, the first health index corresponding to the chat room specifically includes:
for each user in the user set, acquiring a user violation condition corresponding to the user;
determining the violation content type corresponding to the user and violation data corresponding to the violation content type according to the violation condition of the user;
determining a historical violation level corresponding to the user, and determining a health weight corresponding to each violation content type according to the historical violation level and the violation condition of the user;
calculating a user health index corresponding to the user according to the health weight corresponding to each violation content type and the violation data;
and calculating a first health index corresponding to the voice chat room according to all the user health indexes.
Therefore, the device described in the embodiment of fig. 4 can also determine the health weight of the violation content type according to the historical violation level and the violation condition of the user, and determine the health index of the user according to the health weight and the violation data, the health weight can be changed correspondingly according to the actual condition, the reliability and the integrity of the health parameters of the user can be improved, the real-time performance and the referential performance of the first health index of the language chat room can be further improved, and the monitoring efficiency and the monitoring timeliness of the language chat room can be improved.
In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:
the monitoring module 307 is configured to monitor a data change condition corresponding to the chat room before the display module 306 determines the first health index corresponding to the chat room, so as to obtain real-time data corresponding to the chat room.
The first determining module 308 is configured to determine whether the chat room meets a preset health index condition to be determined according to the real-time data, and if so, trigger the displaying module 306 to perform an operation of determining the first health index corresponding to the chat room.
Therefore, whether the chat room meets the condition of health index determination can be judged according to the real-time data by implementing the device described in the figure 4, and when the judgment result is yes, the subsequent operation of health index determination can be executed, so that the pertinence of the health index determination operation can be improved, the accuracy of the determined chat room with the potential dangerous words is improved, the efficiency of the health index determination operation is improved, and unnecessary resource waste is reduced.
In another optional embodiment, the manner of determining whether the chat room meets the predetermined health index condition to be determined by the first determining module 308 according to the real-time data specifically includes:
when the real-time data comprises user data corresponding to the language chat room, determining the number of the illegal accumulated sentences corresponding to the language chat room, and judging whether the number of the illegal accumulated sentences is greater than or equal to a predetermined threshold value of the number of the illegal accumulated sentences;
when the number of the sentences is judged to be more than or equal to the threshold value of the number of the sentences, the confirmed language chat room meets the preset health index condition to be confirmed;
when the real-time data comprises time data corresponding to the voice chat room, determining index display duration corresponding to the voice chat room; the index display duration is the duration from the determined moment of the last first health index corresponding to the voice chat room to the current moment;
judging whether the index display duration is greater than or equal to a predetermined index display duration threshold or not;
and when the index display duration is judged to be greater than or equal to the index display duration threshold, determining that the voice chat room meets the condition of determining the health index.
Therefore, by implementing the device described in fig. 4, whether the voice chat room meets the condition of the health index to be determined can be determined through two modes, namely user data and time data, so that the diversity and pertinence of the determination mode that the voice chat room meets the condition of the health index to be determined are improved, and the accuracy of the result that the determined voice chat room meets the condition is improved.
In yet another alternative embodiment, as shown in fig. 4, the apparatus may further include:
a second judging module 309, configured to judge whether a region modification operation needs to be performed on the second block coordinate region; the second block coordinate area is a certain block coordinate area in the voice chat room monitoring map; the region modification operation includes a region position modification operation and/or a region area modification operation.
The area modification module 310 is configured to, when the second determination module 309 determines that the area modification operation needs to be performed on the second target block coordinate area, perform the area modification operation on the second block coordinate area to obtain a modified second block coordinate area.
The determining module 302 is further configured to determine a target block identifier corresponding to the second block coordinate area.
The updating module 311 is configured to update the modified second block coordinate area to a block coordinate area corresponding to the target block identifier.
It can be seen that implementing the device described in fig. 4 can also provide a way of performing regional modification on a block coordinate region in a voice chat room monitoring map, perform regional position modification operation and regional area modification operation on the block coordinate region according to actual conditions, facilitate enriching the voice chat room health index monitoring way, improve the voice chat room monitoring efficiency and the voice chat room monitoring convenience, and further improve the flexibility of the device.
In yet another alternative embodiment, the manner of determining whether the area modification operation needs to be performed on the second block coordinate area by the second determining module 309 specifically includes:
determining parameter information of a second block coordinate area based on the voice chat room monitoring map; the parameter information comprises an area parameter corresponding to the second block coordinate area and a voice chat room parameter corresponding to the second block coordinate area;
analyzing the parameter information to obtain a parameter relation corresponding to the area parameter and the voice chat room parameter;
determining a telescopic coefficient corresponding to the second block coordinate area according to the parameter relation;
judging whether the expansion coefficient is larger than or equal to a predetermined expansion coefficient threshold value;
when the expansion coefficient is judged to be larger than or equal to the expansion coefficient threshold value, determining that the area modification operation needs to be carried out on the second block coordinate area; or the like, or, alternatively,
detecting whether an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received;
and when the fact that an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received is detected, determining that area modification operation needs to be carried out on the second block coordinate area.
Therefore, by implementing the device described in fig. 4, the regional modification operation can be performed on the block coordinate region according to the expansion coefficient determined by the system or the region modification instruction triggered by the manager, so that the diversity of the region modification operation triggering mode is improved, the accuracy of the determined block coordinate region needing the regional modification operation is improved, the determination efficiency of the block coordinate region needing the regional modification operation is improved, and the rich language chat room health index monitoring mode is facilitated.
In yet another optional embodiment, the second determining module 309 is further configured to, when it is detected that an area modification instruction triggered by a monitoring person for the second block coordinate area is received, determine whether a user identifier of the monitoring person included in the area modification instruction meets a predetermined modification condition corresponding to the second block coordinate area; when the user identification is judged to meet the modification condition, executing the determination to perform the area modification operation on the second block coordinate area; when the user identification is judged not to meet the modifiable condition, outputting a corresponding modification permission verification instruction according to the second block coordinate area and the target block identification; receiving a password aiming at a modification permission verification instruction sent by a monitoring person, and judging whether the password is consistent with a preset target password aiming at the modification permission verification instruction; and when the password is judged to be consistent with the target password, determining that the monitoring personnel has the authority to modify the second block coordinate area, and executing the determination to perform area modification operation on the second block coordinate area.
It can be seen that, the device described in fig. 4 can also determine whether the user meets the modifiable condition of the block coordinate area through two ways of verifying the password by the user identifier and the modification permission, and when the user meets the condition, the block coordinate area can be subjected to area modification operation, so that the diversity of the user area modification permission determination is improved, and further, the accuracy of the determined user area modification permission result and the user area modification permission determination efficiency are improved.
Example four
Referring to fig. 5, fig. 5 is a schematic structural diagram of another virtual map-based apparatus for monitoring health index of chat rooms according to an embodiment of the present invention. The device described in fig. 5 may be a chat room monitoring system or an intelligent monitoring terminal, and the embodiment of the present invention is not limited thereto. As shown in fig. 5, the apparatus may include:
a memory 401 storing executable program code;
a processor 402 coupled with the memory 401;
further, an input interface 403 and an output interface 404 coupled to the processor 402 may be included;
the processor 402 calls the executable program code stored in the memory 401 to execute the steps of the virtual map-based chat room health index monitoring method described in the first embodiment or the second embodiment.
EXAMPLE five
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the steps of the virtual map-based voice chat room health index monitoring method described in the first embodiment or the second embodiment.
EXAMPLE six
The embodiment of the invention discloses a computer program product, which comprises a non-transitory computer readable storage medium storing a computer program, wherein the computer program is operable to make a computer execute the steps of the virtual map-based voice chat room health index monitoring method described in the first embodiment or the second embodiment.
The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above detailed description of the embodiments, those skilled in the art will clearly understand that the embodiments may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, where the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM), or other disk memories, CD-ROMs, or other magnetic disks, A tape memory, or any other medium readable by a computer that can be used to carry or store data.
Finally, it should be noted that: the method and the device for monitoring the health index of the voice chat room based on the virtual map disclosed by the embodiment of the invention are only the preferred embodiment of the invention, and are only used for explaining the technical scheme of the invention, but not limiting the technical scheme; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for monitoring health index of a language chat room based on a virtual map is characterized by comprising the following steps:
detecting a voice chat room creating instruction triggered by a user, determining a corresponding voice chat room identifier according to the voice chat room creating instruction, and creating a voice chat room corresponding to the voice chat room identifier; the voice chat room creating instruction comprises the voice chat room identification;
determining a language chat room attribute corresponding to the language chat room, and generating target information corresponding to the language chat room according to the language chat room identifier and the language chat room attribute;
matching a block identifier corresponding to the target information according to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map;
according to the block identification, determining a first block coordinate area corresponding to the block identification in the voice chat room monitoring map, and according to the target information, determining a voice chat room coordinate point corresponding to the voice chat room;
displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the coordinate point of the voice chat room is positioned in the first block coordinate area;
determining a first health index corresponding to the language chat room, and displaying the first health index corresponding to the language chat room; and/or the presence of a gas in the gas,
and determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
2. The method for monitoring the health index of the voice chat room based on the virtual map as claimed in claim 1, wherein the determining the voice chat room coordinate point corresponding to the voice chat room according to the target information comprises:
vectorizing the target information by combining a preset word vector dimension reduction algorithm to obtain a chat room information vector corresponding to the target information; the voice chat room information vector is used for determining the specific position of a coordinate point corresponding to the voice chat room;
and mapping the information vector of the language chat room to obtain a coordinate point of the language chat room corresponding to the language chat room.
3. The virtual map-based voice chat room health index monitoring method according to claim 1 or 2, wherein the determining the voice chat room attribute corresponding to the voice chat room comprises:
for each preset attribute identification information set, calculating the matching degree of the language chat room identification and each attribute identification information set; the attribute identification information set comprises an attribute identification uniquely corresponding to the attribute identification information set and at least one piece of feature information corresponding to the attribute identification;
screening the highest matching degree of which the matching degree is greater than or equal to a preset matching degree threshold value from the matching degree of the voice chat room identifier and each attribute identifier information set, determining a target attribute identifier information set corresponding to the highest matching degree, and determining an attribute identifier uniquely corresponding to the target attribute identifier information set as a voice chat room attribute corresponding to the voice chat room; alternatively, the first and second electrodes may be,
acquiring a user set corresponding to the language chat room, wherein the user set comprises one or more users who join the language chat room;
for each of the users in the set of users, determining a historical violation by the user; the historical violation condition comprises historical violation content of the user and historical violation data of the user;
analyzing the historical violation condition to obtain the sub-health degree corresponding to the user;
synthesizing all the sub-health degrees to obtain the historical health degree corresponding to the language chat room;
determining the voice chat room attribute corresponding to the voice chat room according to the historical health degree corresponding to the voice chat room;
wherein, for each preset attribute identification information set, calculating the matching degree of the chat room identifier and each attribute identification information set, and the method comprises the following steps:
and for each preset attribute identification information set, calculating the matching degree of the voice chat room identification and each feature information in the attribute identification information set, and calculating the matching degree of the voice chat room identification and the attribute identification information set according to the matching degree of the voice chat room identification and each feature information in the attribute identification information set.
4. The method for monitoring the health index of the voice chat room based on the virtual map as claimed in claim 3, wherein the determining the first health index corresponding to the voice chat room comprises:
for each user in the user set, acquiring a user violation condition corresponding to the user;
determining the violation content type corresponding to the user and violation data corresponding to the violation content type according to the violation condition of the user;
determining historical violation levels corresponding to the users, and determining health weights corresponding to the violation content types according to the historical violation levels and the violation conditions of the users;
calculating a user health index corresponding to the user according to the health weight corresponding to each violation content type and the violation data;
and calculating a first health index corresponding to the voice chat room according to all the user health indexes.
5. The method as claimed in claim 4, wherein before the determining the first health index corresponding to the chat room, the method further comprises:
monitoring the data change condition corresponding to the language chat room to obtain real-time data corresponding to the language chat room;
judging whether the voice chat room meets the preset health index condition needing to be determined or not according to the real-time data;
when the fact that the voice chat room meets the health index condition needing to be determined is judged, the operation of determining a first health index corresponding to the voice chat room is executed;
wherein, the judging whether the language chat room meets the preset health index condition needing to be determined according to the real-time data comprises the following steps:
when the real-time data comprises user data corresponding to the language chat room, determining the number of the sentence numbers of the accumulative violations corresponding to the language chat room, and judging whether the number of the sentence numbers is larger than or equal to a preset threshold value of the number of the sentence numbers of the accumulative violations;
when the number of the sentences is judged to be more than or equal to the threshold value of the number of the sentences, determining that the language chat room meets the preset condition of health index to be determined;
when the real-time data comprises time data corresponding to the language chat room, determining index display duration corresponding to the language chat room; the index display duration is the duration from the determined moment of the last first health index corresponding to the voice chat room to the current moment;
judging whether the index display duration is greater than or equal to a predetermined index display duration threshold or not;
and when the index display duration is judged to be greater than or equal to the index display duration threshold, determining that the voice chat room meets the condition of the health index to be determined.
6. A virtual map based voice chat room health index monitoring method according to claim 4 or 5, the method further comprising:
judging whether region modification operation needs to be carried out on the second block coordinate region; the second block coordinate area is a certain block coordinate area in the voice chat room monitoring map; the region modification operation comprises a region position modification operation and/or a region area modification operation;
when the area modification operation needs to be carried out on the second target block coordinate area, carrying out the area modification operation on the second block coordinate area to obtain a modified second block coordinate area;
determining a target block identifier corresponding to the second block coordinate area, and updating the modified second block coordinate area into a block coordinate area corresponding to the target block identifier;
wherein the determining whether the area modification operation needs to be performed on the second block coordinate area includes:
determining parameter information of the second block coordinate area based on the voice chat room monitoring map; the parameter information comprises an area parameter corresponding to the second block coordinate area and a voice chat room parameter corresponding to the second block coordinate area;
analyzing the parameter information to obtain a parameter relation corresponding to the region area parameter and the voice chat room parameter;
determining a telescopic coefficient corresponding to the second block coordinate area according to the parameter relation;
judging whether the expansion coefficient is larger than or equal to a predetermined expansion coefficient threshold value or not;
when the expansion coefficient is judged to be larger than or equal to the expansion coefficient threshold value, determining that the area modification operation needs to be carried out on the second block coordinate area; or the like, or, alternatively,
detecting whether an area modification instruction triggered by a monitoring person aiming at the second block coordinate area is received;
and when the area modification instruction triggered by the monitoring personnel aiming at the second block coordinate area is detected to be received, determining that the area modification operation needs to be carried out on the second block coordinate area.
7. The method of claim 6, wherein the method further comprises:
when the area modification instruction triggered by the monitoring personnel aiming at the second block coordinate area is detected to be received, judging whether the user identification of the monitoring personnel included in the area modification instruction meets the predetermined modifiable condition corresponding to the second block coordinate area;
when the user identification is judged to meet the modifiable condition, executing the area modification operation on the second block coordinate area required by the determination;
when the user identification is judged not to meet the modifiable condition, outputting a corresponding modification permission verification instruction according to the second block coordinate area and the target block identification;
receiving a password aiming at the modification permission verification instruction sent by the monitoring personnel, and judging whether the password is consistent with a preset target password aiming at the modification permission verification instruction;
and when the password is judged to be consistent with the target password, determining that the monitoring personnel has the authority to modify the second block coordinate area, and executing the determination to perform the area modification operation on the second block coordinate area.
8. A virtual map-based voice chat room health index monitoring apparatus, the apparatus comprising:
the detection module is used for detecting a voice chat room creating instruction triggered by a user; the voice chat room creating instruction comprises the voice chat room identification;
the determining module is used for determining a corresponding language chat room identifier according to the language chat room creating instruction and creating a language chat room corresponding to the language chat room identifier;
the determining module is further configured to determine a language chat room attribute corresponding to the language chat room;
the information generation module is used for generating target information corresponding to the language chat room according to the language chat room identifier and the language chat room attribute;
the matching module is used for matching the block identifier corresponding to the target information according to the target information; the target block corresponding to the block identifier is one block in a pre-generated voice chat room monitoring map;
the determining module is further configured to determine, according to the block identifier, a first block coordinate area corresponding to the block identifier in the voice chat room monitoring map, and determine, according to the target information, a voice chat room coordinate point corresponding to the voice chat room;
the display module is used for displaying the voice chat room in the voice chat room monitoring map according to the first block coordinate area corresponding to the block identifier and the voice chat room coordinate point corresponding to the voice chat room; the corresponding position of the coordinate point of the voice chat room is positioned in the first block coordinate area;
the display module is used for determining a first health index corresponding to the language chat room and displaying the first health index corresponding to the language chat room; and/or determining a second health index corresponding to the target block, and displaying the second health index corresponding to the target block.
9. A virtual map-based voice chat room health index monitoring apparatus, the apparatus comprising:
a memory storing executable program code;
a processor coupled with the memory;
the processor invokes the executable program code stored in the memory to perform the virtual map based chat room health index monitoring method of any of claims 1-7.
10. A computer storage medium storing computer instructions which, when invoked, perform the virtual map based chat room health index monitoring method of any of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111634356.7A CN114374571B (en) | 2021-12-29 | 2021-12-29 | Chat room health index monitoring method and device based on virtual map |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111634356.7A CN114374571B (en) | 2021-12-29 | 2021-12-29 | Chat room health index monitoring method and device based on virtual map |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114374571A true CN114374571A (en) | 2022-04-19 |
| CN114374571B CN114374571B (en) | 2024-04-19 |
Family
ID=81141935
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111634356.7A Active CN114374571B (en) | 2021-12-29 | 2021-12-29 | Chat room health index monitoring method and device based on virtual map |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114374571B (en) |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100205541A1 (en) * | 2009-02-11 | 2010-08-12 | Jeffrey A. Rapaport | social network driven indexing system for instantly clustering people with concurrent focus on same topic into on-topic chat rooms and/or for generating on-topic search results tailored to user preferences regarding topic |
| US20140125759A1 (en) * | 2012-11-02 | 2014-05-08 | OpenExchange, Inc. | Methods and apparatus for video communications |
| US20140337340A1 (en) * | 2013-05-10 | 2014-11-13 | Samsung Electronics Co., Ltd. | Methods and systems for on-device social grouping |
| CN108876081A (en) * | 2017-05-16 | 2018-11-23 | 腾讯科技（深圳）有限公司 | virtual room distribution method, device, storage medium and processor |
| US20200154170A1 (en) * | 2017-06-21 | 2020-05-14 | Microsoft Technology Licensing, Llc | Media content recommendation through chatbots |
| CN112492343A (en) * | 2020-12-16 | 2021-03-12 | 浙江大华技术股份有限公司 | Video live broadcast monitoring method and related device |
| US20210248375A1 (en) * | 2020-02-06 | 2021-08-12 | Mitsubishi Electric Research Laboratories, Inc. | Scene-Aware Video Dialog |
| CN113315994A (en) * | 2021-04-23 | 2021-08-27 | 北京达佳互联信息技术有限公司 | Live broadcast data processing method and device, electronic equipment and storage medium |
| CN113765895A (en) * | 2021-08-13 | 2021-12-07 | 北京奇艺世纪科技有限公司 | Auditing method and device for live broadcast room |
-
2021
- 2021-12-29 CN CN202111634356.7A patent/CN114374571B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100205541A1 (en) * | 2009-02-11 | 2010-08-12 | Jeffrey A. Rapaport | social network driven indexing system for instantly clustering people with concurrent focus on same topic into on-topic chat rooms and/or for generating on-topic search results tailored to user preferences regarding topic |
| US20140125759A1 (en) * | 2012-11-02 | 2014-05-08 | OpenExchange, Inc. | Methods and apparatus for video communications |
| US20140337340A1 (en) * | 2013-05-10 | 2014-11-13 | Samsung Electronics Co., Ltd. | Methods and systems for on-device social grouping |
| CN108876081A (en) * | 2017-05-16 | 2018-11-23 | 腾讯科技（深圳）有限公司 | virtual room distribution method, device, storage medium and processor |
| US20200154170A1 (en) * | 2017-06-21 | 2020-05-14 | Microsoft Technology Licensing, Llc | Media content recommendation through chatbots |
| US20210248375A1 (en) * | 2020-02-06 | 2021-08-12 | Mitsubishi Electric Research Laboratories, Inc. | Scene-Aware Video Dialog |
| CN112492343A (en) * | 2020-12-16 | 2021-03-12 | 浙江大华技术股份有限公司 | Video live broadcast monitoring method and related device |
| CN113315994A (en) * | 2021-04-23 | 2021-08-27 | 北京达佳互联信息技术有限公司 | Live broadcast data processing method and device, electronic equipment and storage medium |
| CN113765895A (en) * | 2021-08-13 | 2021-12-07 | 北京奇艺世纪科技有限公司 | Auditing method and device for live broadcast room |
Non-Patent Citations (1)
| Title |
|---|
| 乐洪舟, 张玉清: "网络直播平台主播地理位置泄露漏洞的分析与利用", 《计算机学报》, pages 1095 - 1111 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114374571B (en) | 2024-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107992596A (en) | A kind of Text Clustering Method, device, server and storage medium | |
| CN110287479A (en) | Name entity recognition method, electronic device and storage medium | |
| CN104504335B (en) | Fishing APP detection methods and system based on page feature and URL features | |
| CN107992746A (en) | Malicious act method for digging and device | |
| CN107992585A (en) | Universal tag method for digging, device, server and medium | |
| CN110881050A (en) | Security threat detection method and related product | |
| CN112311795B (en) | Account management method and device and electronic equipment | |
| CN110245488A (en) | Cipher Strength detection method, device, terminal and computer readable storage medium | |
| CN113221032A (en) | Link risk detection method, device and storage medium | |
| CN110109888A (en) | A kind of document handling method and device | |
| CN112395391A (en) | Concept graph construction method and device, computer equipment and storage medium | |
| CN109344604A (en) | A kind of method and system judging user password risk based on user's habit | |
| CN114374571A (en) | Virtual map-based voice chat room health index monitoring method and device | |
| WO2021135322A1 (en) | Automatic question setting method, apparatus and system | |
| CN113486166A (en) | Method, device and equipment for constructing intelligent customer service robot and storage medium | |
| CN109672586A (en) | A kind of DPI service traffics recognition methods, device and computer readable storage medium | |
| CN117077153A (en) | Static application security detection false alarm discrimination method based on large-scale language model | |
| CN113705164A (en) | Text processing method and device, computer equipment and readable storage medium | |
| KR20190019589A (en) | System and Method for Checking Fact | |
| CN111277579B (en) | Method and equipment for identifying verification information | |
| CN112016317A (en) | Sensitive word recognition method and device based on artificial intelligence and computer equipment | |
| CN116050520A (en) | Risk processing model training method, risk object processing method and related devices | |
| CN114817928A (en) | Network space data fusion analysis method and system, electronic device and storage medium | |
| JP3213403B2 (en) | Handwritten information processing apparatus and handwritten information processing method | |
| CN114385792B (en) | Method, device, equipment and storage medium for extracting words from work order data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |