CN114697286B - Instant messaging data processing method and device and computer readable storage medium - Google Patents
Instant messaging data processing method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN114697286B CN114697286B CN202210404056.8A CN202210404056A CN114697286B CN 114697286 B CN114697286 B CN 114697286B CN 202210404056 A CN202210404056 A CN 202210404056A CN 114697286 B CN114697286 B CN 114697286B
- Authority
- CN
- China
- Prior art keywords
- data
- text
- processed
- instant messaging
- standard word
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 14
- 230000011218 segmentation Effects 0.000 claims abstract description 101
- 238000004891 communication Methods 0.000 claims abstract description 59
- 238000012545 processing Methods 0.000 claims description 57
- 238000000034 method Methods 0.000 claims description 25
- 238000004590 computer program Methods 0.000 claims description 16
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 238000003709 image segmentation Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 abstract description 12
- 238000012216 screening Methods 0.000 abstract description 5
- 238000013481 data capture Methods 0.000 description 16
- 230000006870 function Effects 0.000 description 11
- 230000008569 process Effects 0.000 description 5
- 230000001360 synchronised effect Effects 0.000 description 4
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 239000004065 semiconductor Substances 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/04—Real-time or near real-time messaging, e.g. instant messaging [IM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3344—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/237—Lexical tools
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
Abstract
The invention discloses a processing method and a device of instant messaging data and a computer readable storage medium, wherein the processing method of the instant messaging data comprises the following steps: acquiring the instant communication data and converting the instant communication data into a text to be processed; analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed; searching the service dictionary, and determining labels associated with each standard word in the standard word segmentation set, wherein the service dictionary also stores at least one label and the association relation between the standard word and the label; and storing the association relation among the text to be processed, the standard word segmentation set and the associated labels. By using the technical scheme, the instant messaging data generated in the information transmission can be sorted, the association relation between the instant messaging data is saved, and the efficiency of screening and calling the instant messaging data is improved.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and apparatus for processing instant messaging data, and a computer readable storage medium.
Background
With the development of the internet, instant messaging tools such as WeChat and nailing become an important channel for information transmission in daily life of people, and wireless intercom equipment and voice telephones play an important role in information transmission. In the process of information transmission, innumerable information is generated, useful and useless information is mixed in the information, and if the information in the instant messaging tool is not arranged and stored, important information is omitted, so that normal operation of the work is affected.
In the prior art, when information generated during information transmission is processed, data is usually stored by using a chat logging function of the instant messaging tool.
However, in the prior art, when data generated in the information transmission process is stored, only chat records are directly stored, and the data in the chat records are not consolidated. When people need to search important information, only the chat records can be searched by virtue of memory, and the query efficiency is low.
Disclosure of Invention
The invention solves the technical problem of how to sort the instant messaging data generated in the information transmission and determine the association relationship between the instant messaging data so as to facilitate the screening and the calling of the instant messaging data.
In order to solve the above technical problems, an embodiment of the present invention provides a method for processing instant messaging data, where the method for processing instant messaging data includes: acquiring the instant communication data and converting the instant communication data into a text to be processed; analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed, wherein the service dictionary stores at least one standard word segmentation, at least one original word segmentation and an association relationship between the standard word segmentation and the original word segmentation in at least one dimension, and the original word segmentation is a word segmentation result extracted from the text to be processed; searching the service dictionary, and determining labels associated with each standard word in the standard word segmentation set, wherein the service dictionary also stores at least one label and the association relation between the standard word and the label; and storing the association relation among the text to be processed, the standard word segmentation set and the associated labels.
Optionally, the acquiring the instant communication data includes: and acquiring the instant communication data from a first database, wherein the first database stores instant communication data captured by a data capturing robot from at least one information dissemination system.
Optionally, the data capturing robot is disposed at a server to which each information dissemination system belongs, or the data capturing robot is connected with an interface of the server to which each information dissemination system belongs.
Optionally, the parsing the text to be processed according to the service dictionary, and obtaining the standard word segmentation set of the text to be processed includes: text word segmentation is carried out on the text to be processed according to the service dictionary, and an original word segmentation set is obtained; and searching the service dictionary, and calibrating each original word included in the original word segmentation set into a corresponding standard word segmentation to obtain the standard word segmentation set.
Optionally, different conversion operations are adopted for different types of instant messaging data so as to obtain the text to be processed.
Optionally, the instant communication data includes video data, and the acquiring the instant communication data and converting the instant communication data into the text to be processed includes: receiving the video data; extracting at least one key frame from the video data, wherein the key frame is an image frame with the image difference ratio with the previous image frame being larger than a preset ratio in the video data, and the image difference ratio is used for representing the image difference degree of the adjacent image frames; and carrying out image recognition on the image data of each key frame to obtain the text to be processed.
Optionally, the instant communication data includes image data, and the acquiring the instant communication data and converting the instant communication data into the text to be processed includes: receiving the image data; and carrying out image recognition on the image data to obtain the text to be processed.
Optionally, the performing image recognition on the image data to obtain the text to be processed includes: image segmentation is carried out on the image data so as to obtain a key target representing at least one dimension; and converting each key target in the image data into descriptive text based on image recognition for each image data, and summarizing the descriptive text of all key targets in the image data to obtain the text to be processed.
Optionally, the instant messaging data includes geographic location data, and the acquiring the instant messaging data and converting the instant messaging data into the text to be processed includes: acquiring longitude and latitude information corresponding to the geographic position data; and determining the position information corresponding to the longitude and latitude information on a preset map as the text to be processed.
Optionally, the acquiring latitude and longitude information corresponding to the geographic position data includes: determining longitude and latitude information corresponding to the geographic position data according to the generation time of the geographic position data, a preset travel route of a generation end of the geographic position data and historical longitude and latitude information determined according to the historical geographic position data reported by the generation end in a historical manner.
Optionally, the instant communication data includes voice data, and the acquiring the instant communication data and converting the instant communication data into the text to be processed includes: receiving the voice data; and carrying out voice recognition on the voice data to obtain the text to be processed.
Optionally, the dimensions of the content stored in the service dictionary include: persona, place, time, event.
Optionally, the storing the association relationship among the text to be processed, the standard word segmentation set and the associated labels includes: and storing the association relation to a second database, wherein the second database comprises a relational database.
The embodiment of the invention also discloses a processing device of the instant messaging data, which comprises: the instant communication data acquisition module is used for acquiring the instant communication data and converting the instant communication data into a text to be processed; the standard word segmentation set acquisition module is used for analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed, wherein the service dictionary stores at least one standard word, at least one original word and an association relationship between the standard word and the original word in at least one dimension, and the original word is a word segmentation result extracted from the text to be processed; the label confirming module searches the service dictionary and determines labels associated with each standard word in the standard word segmentation set, and the service dictionary also stores at least one label and the association relation between the standard word segmentation and the label; the storage module is used for storing the association relation among the text to be processed, the standard word segmentation set and the associated labels.
The embodiment of the invention also discloses another instant messaging data processing device which comprises a memory and a processor, wherein the memory is stored with a computer program which can be run on the processor, and the computer program executes the steps of any one of the instant messaging data processing methods when being run by the processor.
The embodiment of the invention also discloses a computer readable storage medium, on which a computer program is stored, the computer program executing the steps of any one of the instant messaging data processing methods when being executed by a processor.
Compared with the prior art, the technical scheme of the embodiment of the invention has the following beneficial effects:
The invention provides a processing method of instant messaging data, which converts instant messaging data into a text to be processed, analyzes the text to be processed by using a service dictionary, and converts original word segmentation in the text to be processed into standard word segmentation to form a standard word segmentation set; by forming the standard word segmentation set, normalization processing can be carried out on each original word segmentation under the condition that the language habits of users are different, so that the processing of instant messaging data is facilitated; and determining the associated labels of each standard word in the standard word segmentation set according to the service dictionary to form the association relation among the original word segmentation, the standard word segmentation and the labels thereof, storing the association relation, and in practical application, rapidly positioning important data in instant messaging data according to the association relation and determining related instant messaging data as auxiliary data, thereby greatly improving the screening and searching efficiency of information.
Further, the video data, the image data, the geographic position data and the voice data are converted into the text to be processed, so that the format of the data to be processed is unified, the data processing problem caused by different instant messaging data formats is avoided, and the subsequent processing of the instant messaging data is facilitated.
Further, when determining the position information corresponding to the geographic position data, determining the longitude and latitude information corresponding to the geographic position data according to the generation time of the geographic position data, the preset travel route of the generation end of the geographic position data and the historical longitude and latitude information determined according to the historical geographic position data reported by the generation end in a historical manner, and accurately positioning the current position of the generation end by combining the time, the preset travel route and the historical passing position information.
Drawings
Fig. 1 is an overall flowchart of a processing method of instant messaging data provided in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a service dictionary according to an embodiment of the present invention;
Fig. 3 is a specific flowchart of an instant messaging data processing in an instant messaging software system according to an embodiment of the present invention;
Fig. 4 is a specific flowchart of instant messaging data processing in an information dissemination system constructed by an interphone according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an instant messaging data processing device according to an embodiment of the present invention.
Detailed Description
As described in the background art, the instant messaging tool becomes an important channel for information transmission in daily work and life of people, and innumerable information is generated along with information transmission, and if the information in the instant messaging tool is not arranged and stored, important information is omitted, so that normal work is affected. In the prior art, when information generated in information transmission is processed, data is usually stored by using a chat record function of the instant messaging tool, and the data in the chat record function is not collated. When people need to search important information, only the chat records can be searched by virtue of memory, and the query efficiency is low.
In the embodiment of the invention, the original word segmentation in the text to be processed is converted into the standard word segmentation by converting the instant messaging data into the text to be processed and analyzing the text to be processed by using a service dictionary so as to form a standard word segmentation set; by forming the standard word segmentation set, normalization processing can be carried out on each original word segmentation under the condition that the language habits of users are different, so that the processing of instant messaging data is facilitated; and determining the associated labels of each standard word in the standard word segmentation set according to the service dictionary to form the association relation among the original word segmentation, the standard word segmentation and the labels thereof, storing the association relation, and in practical application, rapidly positioning important data in instant messaging data according to the association relation and determining related instant messaging data as auxiliary data, thereby greatly improving the screening and searching efficiency of information.
Further, the video data, the image data, the geographic position data and the voice data are converted into the text to be processed, so that the format of the data to be processed is unified, the data processing problem caused by different instant messaging data formats is avoided, and the subsequent processing of the instant messaging data is facilitated.
Further, when determining the position information corresponding to the geographic position data, determining the longitude and latitude information corresponding to the geographic position data according to the generation time of the geographic position data, the preset travel route of the generation end of the geographic position data and the historical longitude and latitude information determined according to the historical geographic position data reported by the generation end in a historical manner, and accurately positioning the current position of the generation end by combining the time, the preset travel route and the historical passing position information.
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Fig. 1 is an overall flowchart of a processing method of instant messaging data according to an embodiment of the present invention.
In a specific implementation, the method for processing instant messaging data described in the following steps 101 to 104 may be used in an apparatus for processing instant messaging data. The above steps may be executed by the processing device of the instant messaging data, or may be executed by a chip having a data processing function in the processing device of the instant messaging data, or may be executed by a chip module of the chip having the data processing function in the processing device of the instant messaging data. In a specific embodiment, the steps of the processing method of instant communication data may be performed by a server.
Specifically, as shown in fig. 1, the processing method of the instant messaging data may include the following steps:
In step 101, the instant communication data is acquired and converted into a text to be processed;
In step 102, analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed;
In step 103, searching the service dictionary and determining the label associated with each standard word in the standard word segmentation set;
In step 104, the association relationship among the text to be processed, the standard word segmentation set and the associated labels is stored.
And finally, after the instant messaging data is processed, carrying out data query according to the association relationship among the text to be processed, the standard word segmentation set and the associated labels.
In one non-limiting embodiment, the first database is used for storing instant messaging data captured by the data capture robot, and the instant messaging data can be obtained from the first database. In particular, the first database may be stored locally on the server; or the first database may be a peripheral database and in communication with the server.
Further, the instant messaging data may also be stored in a server, a mobile storage device, or other storage device that may be implemented, as the application is not limited in this regard.
In one non-limiting embodiment, the information dissemination system may be an instant messaging software system, or an information dissemination system built from hardware devices. For example, an information dissemination system constructed from hardware devices such as interphones and video conference devices.
In one non-limiting embodiment, the data capture robot captures instant messaging data from at least one information dissemination system.
In one embodiment, the data capture robot may be an information capture program running in an information capture device embedded in each information transfer system. Therefore, the data capturing robot can be deployed to each information transmission system to capture instant communication data. For example, the data capture robot may be deployed in a server to which each information dissemination system belongs. The information capturing device may be, for example, a hardware device such as a network server, a trunked communication digital gateway, or a network telephony gateway.
In another embodiment, the data capture robot may be a hardware device independent of the information dissemination system and the information capture device, the data capture robot being connected in series with the information capture device. Specifically, the information capturing device is connected with an interface of a server to which each information dissemination system belongs, so as to capture instant communication data in the information dissemination system. Further, the data capture robot captures instant communication data captured by the information capture device through a serial interface with the information capture device. The information capturing device may be a network server, a trunked communication digital gateway or a network telephony gateway.
In the implementation of step 101, the instant messaging data includes multiple types, and different conversion operations may be used for different types of instant messaging data to convert the instant messaging data into text to be processed. Specifically, the instant messaging data includes text to be processed, video data, image data, geographic position data and voice data, and instant messaging data other than the text to be processed is converted.
In one non-limiting embodiment, the instant messaging data may refer to data generated during instant messaging. The instant messaging may include instant messaging (INSTANT MESSAGING) software-implemented messaging, and may specifically be an internet-based instant messaging service that allows multiple users to use a network to communicate text messages, picture data, voice data, and video files in real time. The instant messaging may also include communication implemented based on a real-time communication device, and may specifically be an instant messaging mode implemented by means of a real-time communication medium, such as instant messaging implemented by physical hardware such as interphone, telephone, etc.
In one implementation, when the received instant communication data is video data, each image frame in the video data is compared with its previous image frame to determine a key frame having a larger difference from the previous frame. The difference ratio of the key frame and the previous image frame is larger than the preset ratio, and the image difference ratio is used for representing the image difference degree of the adjacent image frames. For example, the difference ratio between the current image frame and the previous image frame is 50%. At this time, the preset ratio of the difference degree is 40%, the difference ratio of the current image frame and the previous image frame is larger than the preset ratio, and the current image frame is used as a key frame.
In one non-limiting embodiment, the video data may be obtained from a server to which the instant messaging system belongs, or may be obtained from a server to which the public camera belongs. Specifically, the information capturing device may acquire video data captured by the common camera from a server for storing video data by the common camera. For example, the public camera may include a monitoring device provided in a public place such as a factory, a mall, or the like, and video data acquired from the public camera is video data not related to personal privacy information.
It should be noted that, the difference comparison of the image frames may be performed by using a perceptual hash algorithm, a hamming distance comparison algorithm, or an image histogram comparison algorithm, or any other image difference comparison method that may be implemented may be used to perform the difference comparison of the image frames, and the image difference comparison method may be selected according to an actual application scenario, which is not limited in this aspect of the present application.
Further, after extracting all the key frames in the video data, image segmentation is performed on the image data of each key frame to obtain a key target of at least one dimension in the image data. And carrying out image recognition on each key target in the image data to convert each key target into a description text, and summarizing the description texts of all the key targets in the image data to obtain a text to be processed. In particular, key targets may include people, vehicles, roads, and dimensions of buildings. For example, the current image frame includes a guideboard of the path a and a B building and a label thereof, and the current image frame is subjected to image segmentation, so that the obtained key targets are the guideboard of the path a, the B building and the label thereof. And carrying out image recognition on key targets in the current image frame, wherein the obtained descriptive texts are A-way and B-way buildings, and summarizing descriptive texts of all the key targets in the image data to obtain the A-way and B-way buildings of the texts to be processed.
It should be noted that, the image data may be identified by using an image identification algorithm based on a convolutional neural network, or any other image identification algorithm that may be implemented, where the image identification algorithm may be selected according to an actual application scenario, which is not limited in the present application.
In one implementation, when the received instant messaging data is image data, the image data is segmented to obtain a key target of at least one dimension in the image data. And carrying out image recognition on each key target in the image data to convert each key target into a description text, and summarizing the description texts of all the key targets in the image data to obtain a text to be processed. The specific processing steps of the image data may refer to the processing steps of the image data of the key frame, which are not described herein.
In one implementation, when the received instant messaging data is geographic position data, longitude and latitude information corresponding to the geographic position is obtained, and position information corresponding to the longitude and latitude information is determined on a preset map according to the longitude and latitude information, so that the position information is determined as a text to be processed, and the preset map is a map pre-stored in a database. For example, according to latitude and longitude information a corresponding to geographic position data, determining that position information corresponding to the latitude and longitude information a is B building on a preset map, and determining the B building as a text to be processed.
In another implementation, when the received instant communication data is geographic position data, the longitude and latitude information corresponding to the geographic position data can be determined according to the generation time of the geographic position data, the preset travel route of the generation end of the geographic position data and the historical longitude and latitude information determined according to the historical geographic position data reported by the generation end in a historical manner. Specifically, the generating end of the geographic position data has a preset travel route, longitude and latitude information corresponding to the preset travel route is stored in a database in advance, and the preset travel route can be a patrol route. According to the historical longitude and latitude information determined by the historical geographic position data reported by the generating end in a historical manner, the road section which is already passed by the generating end in the travelling route and the time of passing through each position can be determined, and the longitude and latitude information corresponding to the current geographic position data in the travelling route can be determined by combining the generation time of the geographic position data. And determining position information corresponding to the longitude and latitude information on a preset map according to the longitude and latitude information, so as to determine the position information as a text to be processed.
Further, by combining time, a preset travel route and historical passing position information, the current position of the generating end is accurately positioned, and the precision of the position information can be improved.
In one implementation, when the received instant communication data is voice data, voice recognition is performed on the voice data, and the voice data is converted into text to be processed.
It should be noted that, the voice recognition algorithm based on the convolutional neural network or any other available voice recognition algorithm may be used to perform voice recognition on the image data, where the voice recognition algorithm may be selected according to the actual application scenario, which is not limited in the present application.
In the implementation of step 102, the text segmentation is performed on the obtained text to be processed, so as to obtain an original segmentation set. And searching a service dictionary, and calibrating each original word included in the original word segmentation set into a corresponding standard word segmentation to obtain the standard word segmentation set.
In one non-limiting embodiment, the business dictionary stores at least one standard word, at least one original word, and an association of the standard word and the original word in at least one dimension, where the original word is a word segmentation result extracted from the text to be processed. Specifically, dimensions of content stored by the business dictionary include people, places, time, and events, places may include location information and location supplementary information, and events may include business and status.
Fig. 2 is a schematic diagram of a service dictionary according to an embodiment of the present invention. The step of generating the standard word-segmentation set will now be described with reference to fig. 2.
In a specific embodiment, the content in the service dictionary may be set according to different application scenarios. Specifically, in the comprehensive treatment scene of the area a, the place name and the street name related to the service dictionary are both related to the area a, and the content in the event dimension related to the service dictionary is both related to the comprehensive treatment. For example, traffic in an integrated abatement scenario may include throwing garbage and noise disturbance people. When the application scene is in the city management scene of the area B, the place names and the street names related to the business dictionary are related to the area B, and the contents in the event dimension related to the business dictionary are related to city management. For example, businesses in a city management scenario may include mobile vendors and cross-gate operations.
It should be noted that, the content in the service dictionary can be adaptively adjusted according to the actual application scenario, and the application is not limited.
In one particular embodiment, patrol personnel send a voice message "a park doorway is currently normal" in the information dissemination system. And obtaining voice data, and converting the voice data into a text to be processed, wherein the text to be processed is obtained as 'A park entrance is normal at present'. Text word segmentation is carried out on the text to be processed, and an original word segmentation set is obtained, wherein the original word segmentation set comprises original word segments A park, entrance and normal at present. And calibrating each original word included in the original word segmentation set into a corresponding standard word according to the service dictionary to obtain a standard word A park path of the position information dimension, a standard word gate of the position supplementary information dimension and a standard word current normal of the state dimension, and summarizing to form the standard word segmentation set.
Furthermore, by calibrating the original word in the text to be processed, each original word can be subjected to standardized processing under the condition of different language habits of users, or wrongly written words in the original word can be corrected, so that a plurality of original words correspond to one standard word, and the association relation between the standard word and the label can be conveniently searched.
In a specific implementation of step 103, the service dictionary is searched, and the labels associated with each standard word in the standard word segmentation set are determined. Specifically, the service dictionary also stores at least one label and the association relationship between standard word segmentation and the label.
The determination of the tag will now be described in connection with the specific embodiment in step 102.
In a specific embodiment, the standard word segmentation set comprises a standard word segmentation "A park path" of a position information dimension, a standard word segmentation "gate" of a position supplementary information dimension and a standard word segmentation "current normal" of a state dimension, and a service dictionary is searched to determine labels associated with the standard words. Specifically, the standard word may have an associated tag, and the search result of the tag is the tag corresponding to the standard word; the standard word may also have no associated tag, and the result of the tag search is a null value. And determining that the label corresponding to the standard word A park is MAP000013 Jialu north section, and the label corresponding to the standard word gate and the standard word is null.
In one implementation, the sending date of the instant messaging data can be used as a standard word of one time dimension to be added into the standard word set, and the instant messaging data related to the sending date on the same day can be determined through the sending date of the instant messaging data.
In one implementation, the identifier (Identity document, ID) of the instant messaging data sending end may also be added to the standard word segmentation set as a standard word segmentation of a person dimension, and an identifier corresponds to a user of an information dissemination system, and the message sent by the identifier may be searched through the identifier of the instant messaging data sending end.
Furthermore, the message sent by the same instant messaging data sending end in the preset time can be subjected to the de-duplication treatment, and only the instant messaging data with the earliest or latest sending time is reserved in the repeated instant messaging data, so that the storage pressure of a database is reduced, and the data processing efficiency is improved.
In a specific implementation of step 104, the association between the text to be processed, the standard word segmentation set and the tags associated therewith is stored in a second database.
In one implementation, the second database includes a relational database. In particular, the second database may be stored locally on the server; or the second database may be a peripheral database and in communication with the server.
The storing of the association is now described in connection with the specific embodiment in step 104.
In one particular embodiment, the text to be processed "a park entrance is currently normal" corresponding to the standard word "a park entrance" of the location information dimension, the standard word "entrance" of the location supplemental information dimension, and the standard word "currently normal" of the status dimension; the label corresponding to the standard word "A park" is MAP000013 Jialu north section, the label corresponding to the standard word "20220101" is the date 20220101, the label corresponding to the standard word "ID001" is "ID001", the label corresponding to the standard word "gate" and the label corresponding to the standard word "normal at present" are null values, and the association relation is stored in the second database.
It should be noted that, the association relationship may also be stored in a server, a mobile storage device or other storage devices that may be implemented, which is not limited in the present application.
In another specific embodiment, a patrol personnel sends a text to be processed ' C primary school ' to be swayed and driven away ' in an information transmission system, text word segmentation is carried out on the text to be processed, and an original word segmentation set is obtained, wherein the original word segmentation set comprises the original word segments ' C primary school ', ' swaying away ', ' driven away '. Calibrating the original word according to the service dictionary to obtain a standard word "C primary school" of the position information dimension, a standard word "mobile vendor" of the service dimension, a standard word "processed" of the state dimension, inquiring the service dictionary, determining a label corresponding to the standard word, obtaining that the label corresponding to the standard word "C primary school" is MAP000011 Yinan way, the label corresponding to the standard word "20220101" is the date 20220101, the label corresponding to the standard word "ID002" is "ID002", the label corresponding to the standard word "mobile vendor" and the label corresponding to the standard word "processed" are null, and storing the association relation to the second database.
Further, when the label '20220101' is searched later, the association relation of the text 'A park entrance is normal at present' and the standard word and the label to be processed, and the association relation of the 'C primary school' and the standard word and the label are driven away can be obtained. And (3) rapidly positioning important data in the instant messaging data, and determining related instant messaging data as auxiliary data, so that the screening and searching efficiency of the information is greatly improved.
It should be noted that the serial numbers of the steps in the present embodiment do not represent a limitation on the execution sequence of the steps.
It will be appreciated that, in a specific implementation, the method for processing instant communication data may be implemented by using a software program, where the software program runs on a processor integrated inside a chip or a chip module. The method may also be implemented by combining software with hardware, and the application is not limited.
Fig. 3 is a specific flowchart of an instant messaging data processing in an instant messaging software system according to an embodiment of the present invention.
In an implementation of step 301, the data capture robot captures instant messaging data in the information dissemination system.
In one implementation, instant messaging data sent by users in a group is stored in a server to which the information dissemination system belongs.
In an implementation of step 302, the data capture robot stores the captured instant messaging data to a first database. Instant messaging data may be of various types.
In one implementation, each group has a group identification, which corresponds to the group one-to-one. And the data capturing robot periodically captures instant communication data of the group corresponding to the group identifier from a server to which the information dissemination system belongs according to the group identifier. At this time, the instant messaging data in the first database is updated periodically.
In another implementation, the data capture robot captures instant messaging data in the group from a server to which the information dissemination system belongs whenever there is a new message in the group. At this time, the instant messaging data in the first database is updated in real time.
In a specific implementation, the steps of the instant messaging data processing method are executed by a server. The first database may be a storage device in the server, and the data capture robot may store instant messaging data into the storage device of the server.
In the implementation of step 303, the instant messaging data is acquired, and different conversion operations are adopted for different types of instant messaging data to obtain the text to be processed. The specific conversion operation may refer to the related description in step 102, and will not be described herein.
In a specific implementation of step 304, the text to be processed is processed according to a business dictionary. And carrying out text segmentation on the text to be processed, calibrating the original segmentation according to the service dictionary to obtain standard segmentation, and querying the service dictionary to obtain a label corresponding to the standard segmentation. Specific processing steps may refer to the relevant description in step 103, and will not be described here again.
In a specific implementation of step 305, the association between the text to be processed, the standard word segmentation set and its associated tags is stored in a second database.
Fig. 4 is a specific flowchart of instant messaging data processing in an information dissemination system constructed by an interphone according to an embodiment of the present invention.
In a specific implementation of step 401, the data capture robot captures instant messaging data in an information dissemination system built by an intercom.
In a specific embodiment, an administrator sets an intercom monitoring frequency band, and at the same time, a user sets a use frequency band of an intercom as the intercom monitoring frequency band and performs normal conversation. The data capture robot collects the user's call and converts it into voice data. In particular, the data capture robot may be a wireless cluster gateway.
In an implementation of step 402, the data capture robot stores the captured instant messaging data to a first database. At this time, the instant communication data is voice data.
In a specific implementation, the steps of the instant messaging data processing method are executed by a server. The first database may be a storage device in the server, and the data capture robot may store instant messaging data into the storage device of the server.
In a specific implementation of step 403, speech data is subjected to speech recognition to obtain text to be processed.
In a specific implementation of step 404, the text to be processed obtained by speech recognition is processed according to a service dictionary. And carrying out text segmentation on the text to be processed, calibrating the original segmentation according to the service dictionary to obtain standard segmentation, and querying the service dictionary to obtain a label corresponding to the standard segmentation. Specific processing steps may refer to the relevant description in step 103, and will not be described here again.
In a specific implementation of step 405, the association between the text to be processed, the standard word segmentation set, and their associated tags is stored in a second database.
As shown in fig. 5, the embodiment of the invention also discloses a device for processing instant communication data. The instant communication data processing device 50 includes:
the instant communication data acquisition module 501 is configured to acquire the instant communication data and convert the instant communication data into a text to be processed;
the standard word segmentation set obtaining module 502 is configured to parse the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed, where the service dictionary stores at least one standard word, at least one original word and an association relationship between the standard word and the original word in at least one dimension, and the original word is a word segmentation result extracted from the text to be processed;
The tag confirmation module 503 searches the service dictionary, determines the tag associated with each standard word in the standard word segmentation set, and stores at least one tag and the association relationship between the standard word segmentation and the tag;
and the storage module 504 is configured to store an association relationship among the text to be processed, the standard word segmentation set and the associated tags.
In a specific implementation, the processing device of the instant messaging data may correspond to a Chip having a processing function of the instant messaging data in the processing device of the instant messaging data, for example, an SOC (System-On-a-Chip), a baseband Chip, etc.; or the processing device corresponding to the instant messaging data comprises a chip module with the processing function of the instant messaging data; or corresponds to a chip module with a data processing function chip or corresponds to a processing device of instant messaging data.
For more details of the working principle and the working manner of the instant messaging data processing apparatus 50, reference may be made to the related descriptions in fig. 1,3 and 4, which are not repeated here.
With respect to each of the apparatuses and each of the modules/units included in the products described in the above embodiments, it may be a software module/unit, a hardware module/unit, or a software module/unit, and a hardware module/unit. For example, for each device or product applied to or integrated on a chip, each module/unit included in the device or product may be implemented in hardware such as a circuit, or at least some modules/units may be implemented in software program, where the software program runs on a processor integrated inside the chip, and the remaining (if any) part of modules/units may be implemented in hardware such as a circuit; for each device and product applied to or integrated in the chip module, each module/unit contained in the device and product can be realized in a hardware manner such as a circuit, different modules/units can be located in the same component (such as a chip, a circuit module and the like) or different components of the chip module, or at least part of the modules/units can be realized in a software program, the software program runs on a processor integrated in the chip module, and the rest (if any) of the modules/units can be realized in a hardware manner such as a circuit; for each device, product, or application to or integrated with the terminal, each module/unit included in the device, product, or application may be implemented in hardware such as a circuit, where different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components in the terminal, or at least some modules/units may be implemented in a software program, where the software program runs on a processor integrated within the terminal, and the remaining (if any) some modules/units may be implemented in hardware such as a circuit.
The embodiment of the invention also discloses a storage medium which is a computer readable storage medium and is stored with a computer program, and the computer program can execute the steps of the methods shown in fig. 1, 3 and 4 when running. The storage medium may include ROM, RAM, magnetic or optical disks, and the like. The storage medium may also include a non-volatile memory (non-volatile) or a non-transitory memory (non-transitory) or the like.
The embodiment of the invention also discloses another instant messaging data processing device, which can comprise a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and the processor can execute the steps of the methods shown in fig. 1,3 and 4 when running the computer program.
The term "plurality" as used in the embodiments of the present application means two or more.
The first, second, etc. descriptions in the embodiments of the present application are only used for illustrating and distinguishing the description objects, and no order is used, nor is the number of the devices in the embodiments of the present application limited, and no limitation on the embodiments of the present application should be construed.
It should be appreciated that in the embodiment of the present application, the processor may be a central processing unit (central processing unit, abbreviated as CPU), and the processor may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, abbreviated as DSP), application Specific Integrated Circuits (ASIC), off-the-shelf programmable gate arrays (field programmable GATE ARRAY, abbreviated as FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It should also be appreciated that the memory in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an erasable programmable ROM (erasable PROM EPROM), an electrically erasable programmable ROM (ELECTRICALLY EPROM, EEPROM), or a flash memory. The volatile memory may be a random access memory (random access memory, RAM for short) which acts as an external cache. By way of example, and not limitation, many forms of random access memory (random access memory, RAM) are available, such as static random access memory (STATIC RAM, SRAM), dynamic Random Access Memory (DRAM), synchronous Dynamic Random Access Memory (SDRAM), double data rate synchronous dynamic random access memory (double DATA RATE SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (ENHANCED SDRAM, ESDRAM), synchronous link dynamic random access memory (SYNCHLINK DRAM, SLDRAM), and direct memory bus random access memory (direct rambus RAM, DR RAM).
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired or wireless means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus and system may be implemented in other manners. For example, the device embodiments described above are merely illustrative; for example, the division of the units is only one logic function division, and other division modes can be adopted in actual implementation; for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may be physically included separately, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in hardware plus software functional units.
The integrated units implemented in the form of software functional units described above may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk, or an optical disk, etc., which can store program codes.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (10)
1. The processing method of the instant messaging data is characterized by comprising the following steps:
the instant communication data are acquired and converted into a text to be processed, wherein the instant communication data comprise at least one of the following: video data, image data, geographic location data, and voice data;
Analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed, wherein the service dictionary stores at least one standard word, at least one original word and the association relation between the standard word and the original word in at least one dimension, the original word is a word segmentation result extracted from the text to be processed, and the association relation between the standard word and the original word is used for calibrating the original word into the corresponding standard word so as to perform standardized processing on each original word or correct the misprinted word in the original word;
Searching the service dictionary, and determining labels associated with each standard word in the standard word segmentation set, wherein the service dictionary also stores at least one label and the association relation between the standard word and the label;
storing the association relation among the text to be processed, the standard word segmentation set and the associated labels;
Different conversion operations are adopted for different types of instant messaging data so as to obtain the text to be processed:
Responding to the received instant communication data as video data, and carrying out image recognition on image data of a key frame in the video data to obtain the text to be processed, wherein the key frame is an image frame with the image difference ratio with a previous image frame in the video data being larger than a preset ratio, and the image difference ratio is used for representing the image difference degree of adjacent image frames;
Responding to the received instant messaging data as image data, and carrying out image recognition on the image data to obtain the text to be processed;
Responding to the received instant communication data as geographic position data, acquiring longitude and latitude information corresponding to the geographic position data, and determining position information corresponding to the longitude and latitude information on a preset map as the text to be processed, wherein acquiring the longitude and latitude information corresponding to the geographic position data comprises the following steps: determining longitude and latitude information corresponding to the geographic position data according to the generation time of the geographic position data, a preset travel route of a generation end of the geographic position data and historical longitude and latitude information determined according to historical geographic position data reported by the generation end in a historical manner;
And responding to the received instant communication data as voice data, and performing voice recognition on the voice data to obtain the text to be processed.
2. The method for processing instant messaging data according to claim 1, wherein the obtaining the instant messaging data comprises:
And acquiring the instant communication data from a first database, wherein the first database stores instant communication data captured by a data capturing robot from at least one information dissemination system.
3. The method according to claim 2, wherein the data capturing robot is disposed on a server to which each information dissemination system belongs, or the data capturing robot is connected to an interface of the server to which each information dissemination system belongs.
4. The method for processing instant messaging data according to claim 1, wherein the parsing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed comprises:
Text word segmentation is carried out on the text to be processed according to the service dictionary, and an original word segmentation set is obtained;
and searching the service dictionary, and calibrating each original word included in the original word segmentation set into a corresponding standard word segmentation to obtain the standard word segmentation set.
5. The method for processing instant messaging data according to claim 1, wherein the performing image recognition on the image data to obtain the text to be processed comprises:
image segmentation is carried out on the image data so as to obtain a key target representing at least one dimension;
And converting each key target in the image data into descriptive text based on image recognition for each image data, and summarizing the descriptive text of all key targets in the image data to obtain the text to be processed.
6. The method for processing instant messaging data according to claim 1, wherein the dimensions of the content stored in the service dictionary include: persona, place, time, event.
7. The method for processing instant messaging data according to claim 1, wherein storing the association relationship among the text to be processed, the standard word segmentation set and the tags associated therewith comprises:
And storing the association relation to a second database, wherein the second database comprises a relational database.
8. An apparatus for processing instant messaging data, comprising:
the instant communication data acquisition module is used for acquiring the instant communication data and converting the instant communication data into a text to be processed, wherein the instant communication data comprises at least one of the following: video data, image data, geographic location data, and voice data;
the standard word segmentation set acquisition module is used for analyzing the text to be processed according to a service dictionary to obtain a standard word segmentation set of the text to be processed, wherein the service dictionary stores at least one standard word, at least one original word and the association relation between the standard word and the original word in at least one dimension, the original word is a word segmentation result extracted from the text to be processed, and the association relation between the standard word and the original word is used for calibrating the original word into a corresponding standard word so as to perform standardized processing on each original word or correct wrongly-written words in the original word;
The label confirming module searches the service dictionary and determines labels associated with each standard word in the standard word segmentation set, and the service dictionary also stores at least one label and the association relation between the standard word segmentation and the label;
The storage module is used for storing the association relation among the text to be processed, the standard word segmentation set and the associated labels;
The instant messaging data acquisition module adopts different conversion operations aiming at different types of instant messaging data to obtain the text to be processed:
Responding to the received instant communication data as video data, and carrying out image recognition on image data of a key frame in the video data to obtain the text to be processed, wherein the key frame is an image frame with the image difference ratio with a previous image frame in the video data being larger than a preset ratio, and the image difference ratio is used for representing the image difference degree of adjacent image frames;
Responding to the received instant messaging data as image data, and carrying out image recognition on the image data to obtain the text to be processed;
responding to the received instant messaging data as geographic position data, acquiring longitude and latitude information corresponding to the geographic position data, and determining position information corresponding to the longitude and latitude information on a preset map as the text to be processed;
And responding to the received instant communication data as voice data, and performing voice recognition on the voice data to obtain the text to be processed.
9. A terminal device comprising a memory and a processor, said memory having stored thereon a computer program executable on said processor, characterized in that said processor, when executing said computer program, performs the steps of the method for processing instant communication data according to any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, performs the steps of the method of processing instant communication data according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210404056.8A CN114697286B (en) | 2022-04-18 | 2022-04-18 | Instant messaging data processing method and device and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210404056.8A CN114697286B (en) | 2022-04-18 | 2022-04-18 | Instant messaging data processing method and device and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114697286A CN114697286A (en) | 2022-07-01 |
| CN114697286B true CN114697286B (en) | 2024-04-26 |
Family
ID=82143241
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210404056.8A Active CN114697286B (en) | 2022-04-18 | 2022-04-18 | Instant messaging data processing method and device and computer readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114697286B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760399A (en) * | 2014-12-19 | 2016-07-13 | 华为软件技术有限公司 | Data retrieval method and device |
| CN108874928A (en) * | 2018-05-31 | 2018-11-23 | 平安科技（深圳）有限公司 | Resume data information analyzing and processing method, device, equipment and storage medium |
| CN109062891A (en) * | 2018-07-09 | 2018-12-21 | 重庆邂智科技有限公司 | Media processing method, device, terminal and medium |
| CN109145124A (en) * | 2018-08-16 | 2019-01-04 | 格力电器（武汉）有限公司 | Storage method, device, storage medium and the electronic device of information |
| CN110265032A (en) * | 2019-06-05 | 2019-09-20 | 平安科技（深圳）有限公司 | Conferencing data analysis and processing method, device, computer equipment and storage medium |
| CN110633413A (en) * | 2019-08-26 | 2019-12-31 | 浙江大搜车软件技术有限公司 | Label recommendation method and device, computer equipment and storage medium |
| CN111782772A (en) * | 2020-07-24 | 2020-10-16 | 平安银行股份有限公司 | Text automatic generation method, device, equipment and medium based on OCR technology |
| CN113268615A (en) * | 2021-05-25 | 2021-08-17 | 平安银行股份有限公司 | Resource label generation method and device, electronic equipment and storage medium |
| CN113591488A (en) * | 2021-08-04 | 2021-11-02 | 山西长河科技股份有限公司 | Semantic analysis method and device |
| CN113868360A (en) * | 2021-10-09 | 2021-12-31 | 北京锐安科技有限公司 | Address data processing method and device, electronic equipment and storage medium |
-
2022
- 2022-04-18 CN CN202210404056.8A patent/CN114697286B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105760399A (en) * | 2014-12-19 | 2016-07-13 | 华为软件技术有限公司 | Data retrieval method and device |
| CN108874928A (en) * | 2018-05-31 | 2018-11-23 | 平安科技（深圳）有限公司 | Resume data information analyzing and processing method, device, equipment and storage medium |
| CN109062891A (en) * | 2018-07-09 | 2018-12-21 | 重庆邂智科技有限公司 | Media processing method, device, terminal and medium |
| CN109145124A (en) * | 2018-08-16 | 2019-01-04 | 格力电器（武汉）有限公司 | Storage method, device, storage medium and the electronic device of information |
| CN110265032A (en) * | 2019-06-05 | 2019-09-20 | 平安科技（深圳）有限公司 | Conferencing data analysis and processing method, device, computer equipment and storage medium |
| CN110633413A (en) * | 2019-08-26 | 2019-12-31 | 浙江大搜车软件技术有限公司 | Label recommendation method and device, computer equipment and storage medium |
| CN111782772A (en) * | 2020-07-24 | 2020-10-16 | 平安银行股份有限公司 | Text automatic generation method, device, equipment and medium based on OCR technology |
| CN113268615A (en) * | 2021-05-25 | 2021-08-17 | 平安银行股份有限公司 | Resource label generation method and device, electronic equipment and storage medium |
| CN113591488A (en) * | 2021-08-04 | 2021-11-02 | 山西长河科技股份有限公司 | Semantic analysis method and device |
| CN113868360A (en) * | 2021-10-09 | 2021-12-31 | 北京锐安科技有限公司 | Address data processing method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114697286A (en) | 2022-07-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11562020B2 (en) | Short-term and long-term memory on an edge device | |
| US8775454B2 (en) | Phone assisted ‘photographic memory’ | |
| US9128981B1 (en) | Phone assisted ‘photographic memory’ | |
| US10555139B1 (en) | Deriving signal location information | |
| EP2255522A2 (en) | System and method for data correlation and mobile terminal therefor | |
| CN108092685B (en) | Double-card-slot terminal double-card-slot state identification method, device, equipment and medium | |
| WO2009012705A1 (en) | Method for generating user attribute information and apparatus thereof | |
| CN111090718B (en) | Portrait identification method based on track tracking | |
| US20200364465A1 (en) | Classifying video | |
| CN112559813B (en) | Internet of things gateway data processing method and device based on instruction association pushing | |
| US20190332607A1 (en) | Normalizing ingested signals | |
| CN114697286B (en) | Instant messaging data processing method and device and computer readable storage medium | |
| AU2020412338B2 (en) | Method and device for improving the searchability of incident-specific social media content posted via particularly identified communication devices | |
| US20230421659A1 (en) | Publish and subscribe call center architecture | |
| CN109982247B (en) | Smart phone positioning method combining two-dimensional code with current WIFI information | |
| CN103412891A (en) | Acquisition method and device for graphic code operation information | |
| CN116614565A (en) | Multi-protocol fusion communication method, platform, system and medium for scene law enforcement | |
| WO2018232887A1 (en) | Mobile person information acquisition feedback method, server, and system | |
| CN111782980A (en) | Map interest point mining method, device, equipment and storage medium | |
| JP2007047877A (en) | Portable terminal, area server, descriminator, authentication system, authentication method and program | |
| US20210012114A1 (en) | Segmenting video stream frames | |
| US10671651B1 (en) | Deriving signal location information | |
| CN111212376B (en) | Method, apparatus, device and medium for correlating real-time location and voice quality results | |
| CN106504486B (en) | A kind of mobile phone speech identification alarm processing system | |
| TW202102019A (en) | Monitoring method, device, computer device and readable storage medium |
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 |