CN114697286A - Method and device for processing instant messaging data and computer readable storage medium - Google Patents
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Abstract
The invention discloses a method and a device for processing instant messaging data and a computer readable storage medium, wherein the method for processing the instant messaging data comprises the following steps: acquiring the instant messaging data and converting the instant messaging 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 a label associated with each standard participle in the standard participle set, wherein the service dictionary also stores at least one label and an association relation between the standard participle and the label; and storing the incidence 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 relationship between the instant messaging data is stored, and the screening and calling efficiency of 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 an 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 important channels for information transmission in daily work and life of people, and wireless intercom devices and voice phones also play an important role in information transmission. Meanwhile, countless information is generated along with the information transmission, wherein useful and useless information is mixed, and important information is missed if the information in the instant messaging tool is not sorted and stored, so that the normal operation is influenced.
In the prior art, when information generated in information transmission is processed, data is generally stored by using a chat recording function of an instant messaging tool.
However, in the prior art, when data generated in the information transmission process is saved, the chat records are only directly saved, and the data in the chat records are not arranged. When people need to search important information, the chat records can be searched only by means of memory, and the query efficiency is low.
Disclosure of Invention
The invention solves the technical problem of how to arrange the instant messaging data generated in the information transmission and determine the incidence relation among the instant messaging data so as to facilitate the screening and calling of the instant messaging data.
In order to solve the foregoing technical problem, 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 messaging data and converting the instant messaging 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 relation between the standard word segmentation and the original word segmentation under 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 a label associated with each standard participle in the standard participle set, wherein the service dictionary also stores at least one label and an association relation between the standard participle and the label; and storing the association relationship among the text to be processed, the standard word segmentation set and the associated tags thereof.
Optionally, the obtaining the instant messaging data includes: and acquiring the instant messaging data from a first database, wherein the first database stores instant messaging data acquired by the data capturing robot from at least one information dissemination system.
Optionally, the data capturing robot is deployed in 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.
Optionally, the analyzing the text to be processed according to the service dictionary to obtain a standard word segmentation set of the text to be processed includes: performing text word segmentation on the text to be processed according to the service dictionary to obtain an original word segmentation set; and searching the service dictionary, and calibrating each original participle included in the original participle set into a corresponding standard participle to obtain the standard participle set.
Optionally, different conversion operations are adopted for different types of instant messaging data to obtain the text to be processed.
Optionally, the instant messaging data includes video data, and the obtaining the instant messaging data and converting into a 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 of which the image difference proportion with a previous image frame in the video data is greater than a preset proportion, and the image difference proportion is used for representing the image difference degree of an adjacent image frame; and for the image data of each key frame, carrying out image recognition on the image data to obtain the text to be processed.
Optionally, the instant messaging data includes image data, and the obtaining the instant messaging data and converting into a text to be processed includes: receiving the image data; and performing 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: performing image segmentation on the image data to obtain a key target representing at least one dimension; for each image data, converting each key target in the image data into a description text based on image identification, and summarizing the description texts 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 obtaining the instant messaging data and converting into a 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 obtaining of the longitude and latitude information corresponding to the geographic location data includes: and determining longitude and latitude information corresponding to the geographic position data according to the generation time of the geographic position data, a preset traveling route of a generation end of the geographic position data and historical longitude and latitude information determined according to historical geographic position data reported historically by the generation end.
Optionally, the instant messaging data includes voice data, and the obtaining the instant messaging data and converting into a text to be processed includes: receiving the voice data; and performing voice recognition on the voice data to obtain the text to be processed.
Optionally, the dimensions of the contents stored by the service dictionary include: people, places, times, events.
Optionally, the storing the association relationship among the text to be processed, the standard participle set and the associated tags thereof includes: storing the association relationship 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 messaging data acquisition module is used for acquiring the instant messaging data and converting the instant messaging 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 segmentation, at least one original word segmentation and an association relation between the standard word segmentation and the original word segmentation under at least one dimension, and the original word segmentation is a word segmentation result extracted from the text to be processed; the label confirmation module is used for searching the service dictionary and determining labels associated with each standard participle in the standard participle set, and the service dictionary also stores at least one label and the association relationship between the standard participle and the label; and the storage module is used for storing the association relationship among the text to be processed, the standard word segmentation set and the associated tags thereof.
The embodiment of the invention also discloses another processing device of the instant messaging data, which comprises a memory and a processor, wherein a computer program capable of running on the processor is stored in the memory, and the computer program is executed by the processor in any one of the steps of the processing method of the instant messaging data.
The embodiment of the invention also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the computer program executes the steps of any one of the instant messaging data processing methods.
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 comprises the steps of converting instant messaging data into a text to be processed, analyzing the text to be processed by using a service dictionary, and converting original participles in the text to be processed into standard participles to form a standard participle set; by forming a standard word segmentation set, each original word segmentation can be normalized under the condition that the language habits of users are different, so that the processing of instant messaging data is facilitated; and determining labels associated with each standard participle in the standard participle set according to the service dictionary to form an association relation among the original participle, the standard participle and the labels thereof, storing the association relation, quickly positioning important data in instant messaging data according to the association relation in practical application, determining related instant messaging data as auxiliary data, and greatly improving the screening and searching efficiency of information.
Furthermore, the video data, the image data, the geographic position data and the voice data are converted into texts to be processed, so that the formats of the data to be processed are unified, the data processing problem caused by different formats of instant messaging data is avoided, and the subsequent processing of the instant messaging data is facilitated.
Further, when the position information corresponding to the geographic position data is determined, the longitude and latitude information corresponding to the geographic position data is determined according to the generation time of the geographic position data, the preset traveling route of the 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 mode, and the current position of the generation end is accurately positioned by combining the time, the preset traveling route and the historical passing position information.
Drawings
Fig. 1 is an overall flowchart of a method for processing instant messaging data according to 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 flowchart illustrating an embodiment of an instant messaging data processing method in an instant messaging software system according to the present invention;
fig. 4 is a specific flowchart for processing instant messaging data in an information dissemination system constructed by an intercom according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus for processing instant messaging data 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, countless information is generated along with the information transmission, and if the information in the instant messaging tool is not sorted and stored, important information is missed, and normal work is affected. In the prior art, when information generated in information transmission is processed, data is generally stored by using a chat recording function carried by an instant messaging tool, and the data in the instant messaging tool is not arranged. When people need to search important information, the chat records can be searched only by means of memory, and the query efficiency is low.
In the embodiment of the invention, the instant messaging data is converted into the text to be processed, the text to be processed is analyzed by using the service dictionary, and the original participles in the text to be processed are converted into standard participles to form a standard participle set; by forming the standard participle set, each original participle can be normalized under the condition that the language habits of users are different, so that the processing of instant messaging data is facilitated; and determining labels associated with each standard participle in the standard participle set according to the service dictionary to form an association relation among the original participle, the standard participle and the labels thereof, storing the association relation, quickly positioning important data in instant messaging data according to the association relation in practical application, determining related instant messaging data as auxiliary data, and greatly improving the screening and searching efficiency of information.
Furthermore, the video data, the image data, the geographic position data and the voice data are converted into texts to be processed, so that the formats of the data to be processed are unified, the data processing problem caused by different formats of the instant messaging data is avoided, and the subsequent processing of the instant messaging data is facilitated.
Further, when the position information corresponding to the geographic position data is determined, the longitude and latitude information corresponding to the geographic position data is determined according to the generation time of the geographic position data, the preset traveling route of the generation end of the geographic position data and historical longitude and latitude information determined according to historical geographic position data reported historically by the generation end, and the current position of the generation end is accurately positioned by combining the time, the preset traveling route and the historical passing position information.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
Fig. 1 is an overall flowchart of a method for processing instant messaging data according to an embodiment of the present invention.
In a specific implementation, the processing method of the instant messaging data described in the following steps 101 to 104 can be used in a processing device of the instant messaging data. The above steps may be specifically executed by a processing device of the instant messaging data, may be executed by a chip having a data processing function in the processing device of the instant messaging data, and may also be executed by a chip module including a chip having a data processing function in the processing device of the instant messaging data. In a particular embodiment, the steps of the method for processing instant messaging data may be performed by a server.
Specifically, as shown in fig. 1, the processing method of instant messaging data may include the following steps:
in step 101, acquiring the instant messaging data and converting the instant messaging data 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 a label associated with each standard participle in the standard participle set;
in step 104, the association relationship among the text to be processed, the standard participle set and the associated tags thereof is stored.
And when the instant messaging data are processed, querying the data according to the association relationship among the text to be processed, the standard word segmentation set and the associated tags thereof.
In one non-limiting embodiment, the first database is used for storing instant messaging data captured by the data capturing robot, and the instant messaging data can be acquired from the first database. In particular, the first database may be stored locally at a server; alternatively, the first database may be a peripheral database and communicate with the server.
Further, the instant messaging data may also be stored in a server, a removable storage device, or other storage devices that may be implemented, and is not limited in this application.
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 distribution system is constructed by 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 transmission system. Therefore, the data capturing robot can be deployed to various information dissemination systems to realize capture of instant messaging data. For example, the data capturing robot may be deployed in a server to which each information dissemination system belongs. The information capture device may be 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 separate from the information dissemination system and the information capture device, the data capture robot being serially connected to the information capture device. Specifically, the information capturing device is connected with an interface of a server to which each information dissemination system belongs to capture instant messaging data in the information dissemination systems. Further, the data capture robot captures the instant messaging data captured by the information capture device through a serial interface with the information capture device. The information capture device may be a network server, a trunked communication digital gateway, or a network telephony gateway.
In the specific implementation of step 101, the instant messaging data includes multiple types, and different conversion operations may be adopted 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, geographical location data, and voice data, and the instant messaging data other than the text to be processed is converted.
In one non-limiting embodiment, instant messaging data may refer to data generated during an instant messaging process. The Instant Messaging may include Instant Messaging (Instant Messaging) software-based communication, and may specifically be an internet-based Instant Messaging service, which enables a plurality of users to communicate text messages, picture data, voice data, and video files in real time using a network. The instant messaging may also include communication implemented based on a real-time communication device, and specifically may be an instant communication mode implemented by means of a real-time communication medium, such as an instant messaging implemented by physical hardware such as an intercom, a telephone, and the like.
In one implementation, when the received instant messaging data is video data, each image frame in the video data is compared with a previous image frame to determine a key frame which is different from the previous frame. The difference ratio of the key frame and the previous image frame is larger than a preset ratio, and the image difference ratio is used for representing the image difference degree of the adjacent image frames. For example, the difference comparison between the current image frame and the previous image frame is performed to obtain that 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 between the current image frame and the previous image frame is greater than the preset ratio, and the current image frame is used as the key frame.
In one non-limiting embodiment, the video data may be obtained from a server to which the instant messaging system belongs, or alternatively, may be obtained from a server to which the public camera belongs. Specifically, the information capturing apparatus may acquire video data captured by the common camera from a server for storing the video data by the common camera. For example, the public camera may include a monitoring device installed in a public place such as a factory or a mall, and the video data acquired from the public camera is video data that does not relate to personal privacy information.
It should be noted that, a perceptual hash algorithm, a hamming distance comparison algorithm, or an image histogram comparison algorithm may be adopted to perform difference comparison of image frames, or any other achievable image difference comparison method may be adopted to perform difference comparison of image frames, and the image difference comparison method may be selected according to an actual application scenario, which is not limited in this application.
Further, after all key frames in the video data are extracted, 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 performing 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 key targets in the image data to obtain a text to be processed. In particular, key targets may include dimensions of people, vehicles, roads, and buildings. For example, the current image frame includes a road sign of the a road, a building B and a sign thereof, and the key objects obtained by image-dividing the current image frame are the road sign of the a road, the building B and the sign thereof. And performing image recognition on the key targets in the current image frame to obtain description texts of the A route and the B building, and summarizing the description texts of all the key targets in the image data to obtain texts of the A route and the B building to be processed.
It should be noted that, an image recognition algorithm based on a convolutional neural network or any other achievable image recognition algorithm may be used to perform image recognition on image data, and the image recognition algorithm may be selected according to an actual application scenario, which is not limited in this 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 performing 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 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 again.
In a specific implementation, when the received instant messaging data is geographic position data, longitude and latitude information corresponding to a 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 as to determine the position information as a text to be processed, wherein the preset map is a map stored in a database in advance. For example, according to the longitude and latitude information A corresponding to the geographic position data, the position information corresponding to the longitude and latitude information A is determined as a building B on a preset map, and the building B is determined as a text to be processed.
In another specific implementation, when the received instant messaging data is geographic position data, the latitude and longitude information corresponding to the geographic position data can be determined according to the generation time of the geographic position data, a preset traveling route of a generation end of the geographic position data and historical latitude and longitude information determined according to historical geographic position data reported by the generation end in a historical manner. Specifically, the generation end of the geographic position data is provided with a preset travelling route, longitude and latitude information corresponding to the preset travelling route is stored in a database in advance, and the preset travelling route can be a patrol route. According to historical longitude and latitude information determined by historical geographic position data reported by a generating terminal in history, the road section of the generating terminal in the traveling route and the time of passing each position can be determined, and the longitude and latitude information corresponding to the current geographic position data in the traveling route is determined by combining the generating time of the geographic position data. And determining the position information corresponding to the latitude and longitude information on a preset map according to the latitude and longitude information so as to determine the position information as a text to be processed.
Furthermore, the current position of the generating end is accurately positioned by combining time, a preset traveling route and historical passing position information, and the precision of the position information can be improved.
In one implementation, when the received instant messaging data is voice data, voice recognition is performed on the voice data, and the voice data is converted into a text to be processed.
It should be noted that, a speech recognition algorithm based on a convolutional neural network or any other speech recognition algorithm that can be implemented may be used to perform speech recognition on image data, and the speech recognition algorithm may be selected according to an actual application scenario, which is not limited in this application.
In the specific implementation of step 102, text segmentation is performed on the obtained text to be processed to obtain an original segmentation set. And searching the service dictionary, calibrating each original participle included in the original participle set into a corresponding standard participle, and obtaining the standard participle set.
In one non-limiting embodiment, the service dictionary stores at least one standard participle, at least one original participle and an association relationship between the standard participle and the original participle in at least one dimension, and the original participle is a participle result extracted from a text to be processed. Specifically, the dimensions of the content stored by the service dictionary include people, places, time, and events, the places may include location information and location supplemental information, and the events may include services and status.
Fig. 2 is a schematic diagram of a service dictionary according to an embodiment of the present invention. The generation steps of the standard participle 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 related to the area A, and the content in the event dimension related to the service dictionary is related to the comprehensive treatment. For example, traffic in an integrated abatement scenario may include litter and noise disturbing residents. When the application scene is in a city management scene of a B area, the place name and the street name related to the service dictionary are both related to the B area, and the content in the event dimension related to the service dictionary is both related to city management. For example, a business in a city management scenario may include a mobile vendor and a cross-gate business.
It should be noted that, the content in the service dictionary may be adaptively adjusted according to the actual application scenario, and the application is not limited in this application.
In one embodiment, patrol personnel send a voice message "A park doorway is currently normal" in the information dissemination system. And acquiring voice data, and converting the voice data into a text to be processed, wherein the obtained text to be processed is 'A park doorway is normal at present'. And performing text word segmentation on the text to be processed to obtain an original word segmentation set, wherein the original word segmentation set comprises original words of 'A park', 'door' and 'normal at present'. Calibrating each original participle included in the original participle set into a corresponding standard participle according to a service dictionary to obtain a standard participle of a position information dimension, a standard participle of a position supplementary information dimension, a door and a standard participle of a state dimension, wherein the standard participle is normal at present, and summarizing to form a standard participle set.
Furthermore, by calibrating the original participles in the text to be processed, each original participle can be standardized under the condition that the language habits of users are different, or wrongly written characters in the original participles are corrected, so that a plurality of original participles correspond to one standard participle, and the search of the association relationship between the standard participles and the label is facilitated.
In the specific implementation of step 103, the service dictionary is looked up, and the label associated with each standard participle in the standard participle set is determined. Specifically, the service dictionary further stores at least one label and an association relationship between the standard participle and the label.
The determination of the tag will now be described with reference to a specific embodiment in step 102.
In a specific embodiment, the standard participle set includes a standard participle "a park road" in the position information dimension, a standard participle "door" in the position supplementary information dimension, and a standard participle "normal at present" in the state dimension, and a service dictionary is searched to determine a label associated with each standard participle. Specifically, the standard participles may have associated tags, and the search result of the tags is the tags corresponding to the standard participles; the standard participle may also have no associated label, and the search result of the label is null. And determining that the label corresponding to the standard participle 'A park road' is a north section of MAP 000013A road, and the label corresponding to the standard participle 'doorway' and the standard participle 'normal at present' is a null value.
In one specific implementation, the sending date of the instant messaging data can be used as a standard participle of a time dimension to be added into the standard participle set, and the instant messaging data related to the sending date on the day can be determined through the sending date of the instant messaging data.
In a specific implementation, an Identifier (ID) of the instant messaging data sending end may also be added to the standard participle set as a standard participle of a person dimension, where one identifier corresponds to a user of the information dissemination system, and a message sent by the identifier may be searched for by the identifier of the instant messaging data sending end.
Further, the duplicate removal processing can be performed on the message sent by the same instant messaging data sending end within the preset time, and only the instant messaging data with the earliest or latest sending time is reserved in the multiple pieces of repeated instant messaging data, so that the storage pressure of the database is reduced, and the data processing efficiency is improved.
In the specific implementation of step 104, the association relationship between the text to be processed, the standard participle set and the associated tags thereof is stored in the second database.
In one implementation, the second database comprises a relational database. In particular, the second database may be stored locally at the server; alternatively, the second database may be a peripheral database and communicate with the server.
The storage of the association relationship will now be described with reference to a specific embodiment in step 104.
In one embodiment, the pending text "a park doorway is currently normal" corresponds to the standard participle of the location information dimension "a park road", the standard participle of the location supplemental information dimension "doorway", and the standard participle of the status dimension "currently normal"; the label corresponding to the standard participle "a park road" is MAP000013 north section of the first road, the label corresponding to the standard participle "20220101" is the current day date 20220101, the label corresponding to the standard participle "ID 001" is "ID 001", the label corresponding to the standard participle "doorway" and the standard participle "normal at present" is null, 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 can be implemented, and the present application is not limited thereto.
In another specific embodiment, a patrol person sends a to-be-processed text "C elementary school is allocated and driven away" in an information transmission system, and performs text segmentation on the to-be-processed text to obtain an original segmentation set, wherein the original segmentation set comprises original segmentation "C elementary school", "allocated" and "driven away". Calibrating the original participles according to a service dictionary to obtain a standard participle ' C elementary school ' of a position information dimension, a standard participle ' mobile vendor ' of the service dimension, a standard participle ' processed ' of a state dimension, inquiring the service dictionary, determining a label corresponding to the standard participle, obtaining that the label corresponding to the standard participle ' C elementary school ' is MAP000011 south-B road, the label corresponding to the standard participle ' 20220101 ' is current date 20220101, the label corresponding to the standard participle ' ID002 ' is ID002 ', the label corresponding to the standard participle ' mobile vendor ' and the standard participle ' processed ' is null value, and storing the association relationship into a second database.
Further, when the label "20220101" is retrieved subsequently, the correlation between the text "a is normal at the park entrance" and its standard participle and label, and the correlation between the text "C is disposed in the elementary school to be removed" and its standard participle and label can be obtained. Important data in the instant messaging data are quickly positioned, and relevant instant messaging data are determined to be used as auxiliary data, so that the screening and searching efficiency of information is greatly improved.
It should be noted that the sequence numbers of the steps in this embodiment do not represent a limitation on the execution sequence of the steps.
It is understood that, in a specific implementation, the processing method of the instant messaging data may be implemented by using a software program, where the software program runs in a processor integrated inside a chip or a chip module. The method may also be implemented by combining software and hardware, and the present application is not limited thereto.
Fig. 3 is a specific flowchart illustrating an instant messaging data processing performed in an instant messaging software system according to an embodiment of the present invention.
In a specific implementation of step 301, the data capture robot captures instant messaging data in the information dissemination system.
In one implementation, the instant messaging data sent by the users in the 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. The instant messaging data may be of various types.
In one implementation, each group has a group id, and the group ids correspond to the groups one to one. And the data capturing robot periodically captures the instant messaging data of the group corresponding to the group identification from the server to which the information dissemination system belongs according to the group identification. At this time, the instant messaging data in the first database is updated periodically.
In another implementation, the data capture robot captures the instant messaging data in the group from the 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 the server. The first database may be a storage device in the server, and the data capture robot may store the instant messaging data in the storage device of the server.
In the specific implementation of step 303, instant messaging data is obtained, and different conversion operations are performed on different types of instant messaging data to obtain a text to be processed. For a specific conversion operation, reference may be made to the related description in step 102, and details are not repeated here.
In a specific implementation of step 304, the text to be processed is processed according to the service dictionary. And performing text segmentation on the text to be processed, calibrating the original participles according to the service dictionary to obtain standard participles, and querying the service dictionary to obtain labels corresponding to the standard participles. The specific processing steps can refer to the related descriptions in step 103, and are not described herein again.
In a specific implementation of step 305, the association relationship between the text to be processed, the standard word segmentation set and the associated tags thereof is stored in the second database.
Fig. 4 is a specific flowchart for processing instant messaging data in an information dissemination system constructed by an intercom according to an embodiment of the present invention.
In the specific implementation of step 401, the data capture robot captures the instant messaging data in the information dissemination system constructed by the intercom.
In a specific embodiment, the administrator sets the talkback monitoring frequency band, and meanwhile, the user sets the use frequency band of the interphone to the talkback 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 capturing 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 messaging 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 the instant messaging data in the storage device of the server.
In the implementation of step 403, speech recognition is performed on the speech data to obtain the text to be processed.
In the specific implementation of step 404, the text to be processed obtained by speech recognition is processed according to the service dictionary. And segmenting the text to be processed, calibrating the original participles according to the service dictionary to obtain standard participles, and querying the service dictionary to obtain labels corresponding to the standard participles. The specific processing steps can refer to the related descriptions in step 103, and are not described herein again.
In the specific implementation of step 405, the association relationship between the text to be processed, the standard participle set and its associated tags is stored in the second database.
As shown in fig. 5, the embodiment of the present invention further discloses a device for processing instant messaging data. The processing device 50 for instant messaging data comprises:
an instant messaging data obtaining module 501, configured to obtain the instant messaging data and convert the instant messaging data into a text to be processed;
a standard word segmentation set obtaining module 502, configured to analyze 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 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;
the tag confirmation module 503 is configured to search the service dictionary, determine tags associated with each standard participle in the standard participle set, where the service dictionary further stores at least one tag and an association relationship between the standard participle and the tag;
a storage module 504, configured to store an association relationship between the text to be processed, the standard word segmentation set, and the associated tags thereof.
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, such as a System-On-a-Chip (SOC), a baseband Chip, and the like; or the processing device corresponding to the instant communication data comprises a chip module with the processing function of the instant communication data; or to a chip module having a chip with data processing function, or to a processing device for instant messaging data.
More contents of the operation principle and the operation mode of the instant messaging data processing apparatus 50 may refer to the related descriptions in fig. 1, fig. 3, and fig. 4, and are not described again here.
Each module/unit included in each apparatus and product described in the above embodiments may be a software module/unit, or may also be a hardware module/unit, or may also be a part of a software module/unit and a part of a hardware module/unit. For example, for each device or product applied to or integrated into a chip, each module/unit included in the device or product may be implemented by hardware such as a circuit, or at least a part of the module/unit may be implemented by a software program running on a processor integrated within the chip, and the rest (if any) part of the module/unit may be implemented by hardware such as a circuit; for each device or product applied to or integrated with the chip module, each module/unit included in the device or product may be implemented by using hardware such as a circuit, and different modules/units may be located in the same component (e.g., a chip, a circuit module, etc.) or different components of the chip module, or at least some of the modules/units may be implemented by using a software program running on a processor integrated within the chip module, and the rest (if any) of the modules/units may be implemented by using hardware such as a circuit; for each device and product applied to or integrated in the terminal, each module/unit included in the device and product may be implemented by using hardware such as a circuit, and 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 part of the modules/units may be implemented by using a software program running on a processor integrated in the terminal, and the rest (if any) part of the modules/units may be implemented by using hardware such as a circuit.
The embodiment of the invention also discloses a storage medium, which is a computer-readable storage medium and stores a computer program thereon, and the computer program can execute the steps of the methods shown in fig. 1, fig. 3 and fig. 4 when running. The storage medium may include ROM, RAM, magnetic or optical disks, etc. The storage medium may further include a non-volatile memory (non-volatile) or a non-transitory memory (non-transient), and the like.
The embodiment of the present invention also discloses another processing apparatus for instant messaging data, which may include a memory and a processor, where the memory stores a computer program executable on the processor, and the processor may execute the steps of the methods shown in fig. 1, fig. 3, and fig. 4 when executing the computer program.
The "plurality" appearing in the embodiments of the present application means two or more.
The descriptions of the first, second, etc. appearing in the embodiments of the present application are only for illustrating and differentiating the objects, and do not represent the order or the particular limitation of the number of the devices in the embodiments of the present application, and do not constitute any limitation to the embodiments of the present application.
It should be understood that, in the embodiment of the present application, the processor may be a Central Processing Unit (CPU), and the processor may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will also be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example and not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (enhanced SDRAM), SDRAM (SLDRAM), synchlink DRAM (SLDRAM), and direct bus RAM (DR RAM).
The above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. 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. The procedures or functions according to the embodiments of the present application are wholly or partially generated when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. 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, computer, server, or data center to another website, computer, server, or data center by wire or wirelessly. The computer-readable storage medium can 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 collections 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 the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to 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 ways. For example, the above-described apparatus embodiments are merely illustrative; for example, the division of the unit is only a logic function division, and there may be another division manner in actual implementation; for example, various elements or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware, or in the form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit 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) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be effected therein by one skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (16)
1. A processing method of instant messaging data is characterized by comprising the following steps:
acquiring the instant messaging data and converting the instant messaging 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 relation between the standard word segmentation and the original word segmentation under 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 a label associated with each standard participle in the standard participle set, wherein the service dictionary also stores at least one label and an association relation between the standard participle and the label;
and storing the incidence relation among the text to be processed, the standard word segmentation set and the associated labels.
2. The method for processing instant messaging data according to claim 1, wherein the acquiring the instant messaging data comprises:
and acquiring the instant messaging data from a first database, wherein the first database stores instant messaging data captured by the data capturing robot from at least one information dissemination system.
3. The method for processing instant messaging data according to claim 2, wherein the data capturing robot is deployed in 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: performing text word segmentation on the text to be processed according to the service dictionary to obtain an original word segmentation set; and searching the service dictionary, and calibrating each original participle included in the original participle set into a corresponding standard participle to obtain the standard participle set.
5. The method for processing instant messaging data according to claim 1, wherein different conversion operations are applied to different types of instant messaging data to obtain the text to be processed.
6. The method for processing instant messaging data according to claim 5, wherein the instant messaging data comprises video data, and the obtaining the instant messaging data and converting the instant messaging data into the text to be processed comprises:
receiving the video data;
extracting at least one key frame from the video data, wherein the key frame is an image frame of which the image difference proportion with a previous image frame in the video data is greater than a preset proportion, and the image difference proportion is used for representing the image difference degree of an adjacent image frame;
and for the image data of each key frame, carrying out image recognition on the image data to obtain the text to be processed.
7. The method for processing instant messaging data according to claim 5, wherein the instant messaging data comprises image data, and the obtaining the instant messaging data and converting into the text to be processed comprises:
receiving the image data;
and performing image recognition on the image data to obtain the text to be processed.
8. The method for processing instant messaging data according to claim 6 or 7, wherein the image recognition of the image data to obtain the text to be processed comprises:
performing image segmentation on the image data to obtain a key target representing at least one dimension;
for each image data, converting each key target in the image data into a description text based on image identification, and summarizing the description texts of all key targets in the image data to obtain the text to be processed.
9. The method for processing instant messaging data according to claim 5, wherein the instant messaging data comprises geographic location data, and the obtaining the instant messaging data and converting into the text to be processed comprises:
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.
10. The method for processing instant messaging data according to claim 9, wherein the obtaining latitude and longitude information corresponding to the geographic location data comprises:
and determining longitude and latitude information corresponding to the geographical position data according to the generation time of the geographical position data, a preset traveling route of a generation end of the geographical position data and historical longitude and latitude information determined according to historical geographical position data reported historically by the generation end.
11. The method for processing instant messaging data according to claim 5, wherein the instant messaging data comprises voice data, and the obtaining the instant messaging data and converting into the text to be processed comprises:
receiving the voice data;
and performing voice recognition on the voice data to obtain the text to be processed.
12. The method for processing instant messaging data according to claim 1, wherein the dimensions of the contents stored in the service dictionary comprise: people, places, times, events.
13. The method for processing instant messaging data according to claim 1, wherein the storing the association relationship among the text to be processed, the standard word segmentation set and the associated tags thereof comprises: storing the association relationship to a second database, wherein the second database comprises a relational database.
14. An apparatus for processing instant messaging data, comprising:
the instant messaging data acquisition module is used for acquiring the instant messaging data and converting the instant messaging 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 segmentation, at least one original word segmentation and an association relation between the standard word segmentation and the original word segmentation under at least one dimension, and the original word segmentation is a word segmentation result extracted from the text to be processed;
the label confirmation module is used for searching the service dictionary and determining labels related to each standard participle in the standard participle set, and the service dictionary also stores at least one label and the association relationship between the standard participle and the label;
and the storage module is used for storing the association relationship among the text to be processed, the standard word segmentation set and the associated tags thereof.
15. An apparatus for processing instant messaging data, comprising a memory and a processor, the memory having stored thereon a computer program operable on the processor, wherein the processor executes the computer program to perform the steps of the method for processing instant messaging data according to any one of claims 1 to 13.
16. A computer-readable storage medium, which is a non-volatile storage medium or a non-transitory storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, performs the steps of the method for processing instant messaging data according to any one of claims 1 to 13.
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