CN112446622A - Enterprise WeChat session evaluation method, system, electronic device and storage medium - Google Patents
Enterprise WeChat session evaluation method, system, electronic device and storage medium Download PDFInfo
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Abstract
The invention provides an enterprise wechat session evaluation method, a system, electronic equipment and a storage medium, wherein the technical scheme of the method comprises a session export step of archiving and exporting enterprise wechat session data; a conversation processing step, wherein the conversation data is processed into structured conversation data through a natural language processing algorithm; a session evaluation step, namely automatically evaluating the structured session data according to a first preset standard and outputting an evaluation result; and a visualization step, wherein the evaluation result is visualized through a data billboard. The invention solves the problem of monitoring the compliance risk of the insurance agent through the enterprise WeChat execution.
Description
Technical Field
The invention belongs to the field of natural language processing, and particularly relates to an enterprise WeChat session evaluation method and system applicable to the insurance agency industry, electronic equipment and a storage medium.
Background
The financial industry is a special industry for operating credit, insurance is one of three major financial pillars, guarantees are provided for the stability of finance, financial risk prevention and control are the internal requirements of economic high-quality development, and in order to balance the relationship between good and stable growth and risk prevention, the work of preventing and resolving financial risks is required to be continuously done. For the insurance industry, the risk of insurance products, institutions, markets or mechanisms, etc. can be a significant disruption to the overall financial domain, system and physical economy.
Meanwhile, the financial sub-industries such as banks, securities and insurance enter the age of stock competition, on one hand, the financial sub-industries are infinite homogeneous financial products, and need more detailed and fine operation; on the other hand, consumers are more willing to obtain long-term, continuous services, both of which have driven the financial industry's demand for efficiency tools.
The enterprise WeChat is connected with 11 hundred million WeChat users, and almost covers all consumers and service objects in China. The method provides a good carrier for the incremental market to the stock market, and as the demand of online consumption is continuously rich, the channel for the insurance agent to sell the insurance product through enterprise WeChat is gradually released, and a new challenge is provided for the online service full-process quality inspection, and meanwhile, a certain pressure is brought to the prevention of financial risks.
Disclosure of Invention
The embodiment of the application provides an enterprise wechat session evaluation method, an enterprise wechat session evaluation system, electronic equipment and a storage medium, and aims to at least solve the problem of compliance risk of an insurance agent in enterprise wechat execution.
In a first aspect, an embodiment of the present application provides an enterprise WeChat session evaluation method, including: a session export step, namely archiving and exporting the enterprise WeChat session data; a conversation processing step, wherein the conversation data is processed into structured conversation data through a natural language processing algorithm; a session evaluation step, namely automatically evaluating the structured session data according to a first preset standard and outputting an evaluation result; and a visualization step, wherein the evaluation result is visualized through a data billboard.
Preferably, the session deriving step further includes: a non-text data conversion step, namely converting the non-text data in the enterprise WeChat into text data; the non-text data includes conversation voice, conversation duration, and toolbar usage.
Preferably, the session processing step further includes: and a session filtering step, namely setting a second preset standard, and filtering and discarding the contents which do not meet the second preset standard in the session data.
Preferably, the preset standard is a session evaluation knowledge base, and the session evaluation knowledge base is constructed through a knowledge graph model.
In a second aspect, an embodiment of the present application provides an enterprise wechat session evaluation system, which is suitable for the enterprise wechat session evaluation method, and includes: the session export unit is used for archiving and exporting the enterprise WeChat session data; the conversation processing unit is used for processing the conversation data into structured conversation data through a natural language processing algorithm; the session evaluation unit is used for automatically evaluating the structured session data according to a first preset standard and outputting an evaluation result; and the visualization unit is used for visualizing the evaluation result through a data billboard.
In some of these embodiments, the session derivation unit further includes: the non-text data conversion module is used for converting the non-text data in the enterprise WeChat into text data; the non-text data includes conversation voice, conversation duration, and toolbar usage.
In some embodiments, the session processing unit further comprises: and the session filtering module is used for setting a second preset standard, filtering and discarding the contents which do not meet the second preset standard in the session data.
In some embodiments, the preset criterion is a session evaluation knowledge base, and the session evaluation knowledge base is constructed through a knowledge graph model.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements an enterprise wechat session evaluation method as described in the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements an enterprise wechat session evaluation method as described in the first aspect above.
Compared with the related technology, the enterprise wechat session evaluation method provided by the embodiment of the application obtains data through the enterprise wechat API interface, and applies natural language processing of texts and knowledge map modeling technology under a vertical scene to provide the enterprise wechat session evaluation method, the system, the electronic equipment and the storage medium, so that the full-process quality inspection of online marketing service of an insurance agent is realized, the internal control management, the compliance operation and the effective supervision of an insurance intermediary mechanism are effectively improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flowchart of an enterprise WeChat session evaluation method of the present invention;
FIG. 2 is a block diagram of an enterprise wechat session evaluation system of the present invention;
FIG. 3 is a block diagram of an electronic device of the present invention;
fig. 4 is an application flowchart of the enterprise wechat session evaluation method of the present invention.
In the above figures:
1. a session derivation unit; 2. a session processing unit; 3. a session evaluation unit; 4. a visualization unit; 11. a non-text data conversion module; 21. a session filtering module; 60. a bus; 61. a processor; 62. a memory; 63. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments provided in the present application without any inventive step are within the scope of protection of the present application.
It is obvious that the drawings in the following description are only examples or embodiments of the present application, and that it is also possible for a person skilled in the art to apply the present application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention can be applied to the evaluation of the WeChat session data of the enterprise, and is particularly suitable for the on-line marketing content compliance evaluation of insurance agents.
The financial industry is a special industry for operating credit, insurance is one of three major financial pillars, guarantees are provided for the stability of finance, financial risk prevention and control are the internal requirements of economic high-quality development, and in order to balance the relationship between good and stable growth and risk prevention, the work of preventing and resolving financial risks is required to be continuously done. For the insurance industry, the risk of insurance products, institutions, markets or mechanisms, etc. can be a significant disruption to the overall financial domain, system and physical economy.
Meanwhile, the financial sub-industries such as banks, securities and insurance enter the age of stock competition, on one hand, the financial sub-industries are infinite homogeneous financial products, and need more detailed and fine operation; on the other hand, consumers are more willing to obtain long-term, continuous services, both of which have driven the financial industry's demand for efficiency tools.
The enterprise WeChat is an enterprise communication and office tool created by Tencent WeChat team, has communication experience consistent with WeChat, abundant OA application and capability of connecting the ecology of the WeChat, and can help enterprises to connect interiors, ecological partners, consumers, professional collaboration, safety management and people-as-a-service.
At present, enterprise WeChat covers more than 50 industries such as retail, education, finance, manufacturing industry, Internet, medical treatment and the like, and intelligent solutions are continuously output to various industries.
The enterprise WeChat provides APIs for address book management, external contact management, application management, message pushing, identity verification, mobile terminal SDK, materials, OA data interfaces, enterprise payment, electronic invoices and the like, and managers can use the APIs to access more personalized office applications for enterprises. The API of the server opens rich capability interfaces, and developers can realize the integration of enterprise services and enterprise WeChat by means of the interface capability. The supported capability can be quickly previewed through directory navigation, and directory trees are grouped and classified according to functional blocks, such as address list management, message pushing and the like.
In order to guarantee the quality of service of customers, improve the internal cooperation efficiency, supervise the reasons such as compliance, the enterprise wechat provides conversation content archiving function. The enterprise can set the filed staff range in a unified mode, work communication contents of the filed staff are obtained through the API, and external supervision compliance and internal management requirements of the enterprise are met.
The enterprise WeChat is connected with 11 hundred million WeChat users, and almost covers all consumers and service objects in China. The method provides a good carrier for the incremental market to the stock market, and as the demand of online consumption is continuously rich, the channel for the insurance agent to sell the insurance product through enterprise WeChat is gradually released, and a new challenge is provided for the online service full-process quality inspection, and meanwhile, a certain pressure is brought to the prevention of financial risks.
Speech Recognition technology, also known as Automatic Speech Recognition (ASR), aims at converting the vocabulary content in human Speech into computer-readable input, such as keystrokes, binary codes or character sequences. Unlike speaker recognition and speaker verification, the latter attempts to recognize or verify the speaker who uttered the speech rather than the vocabulary content contained therein. The construction process of the speech recognition system integrally comprises two parts: training and identifying. Training is usually completed off-line, signal processing and knowledge mining are carried out on a mass voice and language database collected in advance, and an acoustic model and a language model required by a voice recognition system are obtained; the recognition process is usually completed on line, and the real-time voice of the user is automatically recognized. The recognition process can be generally divided into two major modules, namely a front-end module and a back-end module: the front-end module is mainly used for carrying out end point detection (removing redundant mute and non-speaking sound), noise reduction, feature extraction and the like; the 'back-end' module is used for carrying out statistical pattern recognition (also called 'decoding') on the feature vector of the user speaking by utilizing the trained 'acoustic model' and 'language model' to obtain the contained text information, and in addition, the back-end module also has a 'self-adaptive' feedback module which can carry out self-learning on the voice of the user, thereby carrying out necessary 'correction' on the 'acoustic model' and the 'voice model' and further improving the recognition accuracy.
Natural Language Processing (NLP) is an important direction in the fields of computer science and artificial intelligence. It studies various theories and methods that enable efficient communication between humans and computers using natural language. Natural language processing is a science integrating linguistics, computer science and mathematics. Therefore, the research in this field will relate to natural language, i.e. the language that people use everyday, so it is closely related to the research of linguistics, but has important difference. Natural language processing is not a general study of natural language but is directed to the development of computer systems, and particularly software systems therein, that can efficiently implement natural language communications. It is thus part of computer science. Natural Language Processing (NLP) is a field of computer science, artificial intelligence, linguistics that focuses on the interaction between computers and human (natural) language.
Unstructured data is data that has an irregular or incomplete data structure, no predefined data model, and is inconvenient to represent with a database two-dimensional logical table. Including office documents, text, pictures, XML, HTML, various types of reports, images, audio/video information, and the like, in all formats. Data in a computer informatization system is divided into structured data and unstructured data. Unstructured data is very diverse in format, diverse in standard, and technically more difficult to standardize and understand than structured information. Storage, retrieval, distribution, and utilization require more intelligent IT technologies such as mass storage, intelligent retrieval, knowledge mining, content protection, value-added development and utilization of information, and the like.
Structured data, also called row data, is data logically represented and implemented by a two-dimensional table structure, strictly following the data format and length specifications, and mainly stored and managed by a relational database. In contrast to structured data, unstructured data is not suitable for representation by a database two-dimensional table, including office documents of all formats, XML, HTML, various types of reports, pictures and audio, video information, and the like. The database supporting unstructured data adopts a multi-value field, a field and variable length field mechanism to create and manage data items, and is widely applied to the fields of full-text retrieval and various multimedia information processing.
The application provides an enterprise wechat session evaluation method based on an enterprise wechat API. A set of financial insurance industry compliance monitoring method based on enterprise WeChat API is formulated by monitoring the whole process of online marketing service of an insurance agent, so as to realize the whole process quality inspection of the online marketing service of the insurance agent.
Embodiments of the invention are described in detail below with reference to the accompanying drawings:
fig. 1 is a flowchart of an enterprise wechat session evaluation method of the present invention, and please refer to fig. 1, the enterprise wechat session evaluation method of the present invention includes the following steps:
s1: archiving and exporting the session data in the enterprise WeChat by utilizing an API interface tool; optionally, the method further comprises a non-text data conversion step, wherein the non-text data in the enterprise WeChat is converted into text data; the non-text data comprises conversation duration and toolbar use conditions; optionally, the conversational speech is converted to text using a natural language recognition technique.
Acquiring enterprise WeChat session data, starting session content archiving by a management background, setting a starting range, an IP address and a message encryption public key before starting, and after starting: the method comprises the steps that an employee who opens an archive logs in a client, the employee can go through an informing page after entering an enterprise, the employee can continue to use after being informed, the enterprise can obtain conversation contents between the employee who opens the archive and the employee who does not open the archive, but cannot obtain the conversation contents between the employees who do not open the archive.
S2: all the session data exported in the step S1 are unstructured data, and the session data is processed into structured session data through a natural language processing algorithm; optionally, any natural language processing algorithm capable of converting unstructured data into structured data may be selected in the embodiment of the present application; optionally, the method further includes a session filtering step, in which a second preset criterion is set, and the content that does not meet the second preset criterion in the session data is filtered and discarded.
S3: automatically evaluating the structured session data according to a first preset standard, and outputting an evaluation result; optionally, the preset standard is a session evaluation knowledge base, and the session evaluation knowledge base is constructed through a knowledge graph model.
S4: and visualizing the evaluation result through a data billboard.
The method for evaluating the enterprise WeChat session provided by the application comprises the following steps;
the conversation data of the insurance agent and the client in the enterprise WeChat is archived and exported by utilizing an API (application programming interface) tool, the text chatting records can be directly exported, the conversation time length of the insurance agent and the client and the use condition of a toolbar need to be converted into texts and then exported, and meanwhile, the voice message in the conversation is converted into characters by utilizing a natural language recognition technology.
The text exported in the above steps is an unstructured text, the session data is processed into structured session data through a natural language processing algorithm, and meanwhile, a preset standard is set, and the content irrelevant to the insurance agency marketing service in the session data is removed.
And constructing a session evaluation knowledge base which comprises the supervision rules of the insurance industry supervision department and the wind control standards inside the company, automatically comparing the structured session data in the steps with the contents in the knowledge base so as to evaluate whether the marketing contents of the online marketing activities of the insurance agent are in compliance or not, extracting key session points, wherein if a contribution link is adopted, the insurance agent uses a presumptive commitment method, and for the link, the insurance agent is mainly monitored whether the insurance agent excessively commits benefits which cannot be provided by the insurance contract or not, and if a T-type comparison method is adopted, the insurance agent is mainly monitored whether the benefits and the badness of purchasing insurance are excessively exaggerated or not.
And displaying the evaluation result obtained in the steps in a data billboard form, developing the billboard dimension and the index definition around the insurance sales process, and analyzing the evaluation result in multiple angles.
Referring to fig. 4, fig. 4 is a flowchart illustrating an application of the method for evaluating an enterprise WeChat session according to the present invention. The application of the present invention in the compliance monitoring of the financial insurance industry by the enterprise WeChat API is specifically described below with reference to FIG. 4.
The scheme provides a system and a method for monitoring the compliance of the financial insurance industry based on an enterprise WeChat API. A set of system and method for monitoring the compliance of the financial insurance industry based on the enterprise WeChat API is made by monitoring the whole process of the online marketing service of the insurance agent, so as to realize the whole process quality inspection of the online marketing service of the insurance agent.
The analysis process provided by the scheme comprises the following steps:
(1) conversation archiving such as full-flow chatting record, tool use, duration condition and the like of the enterprise WeChat sales channel marketing service of the insurance agency, and unstructured data is exported through an API (application programming interface);
(2) through the natural language recognition technology, the voice in the enterprise WeChat is firstly converted into characters, and then the characters are converted into structured data through the natural language processing technology.
By establishing a specialized sales process and extracting key strategic points, for example, in a link of promotion, an insurance agent uses a presumed commitment method, and for the link, the insurance agent should be intensively monitored whether the insurance agent excessively commits benefits which cannot be provided by an insurance contract, and if a T-type comparison method is applied, the insurance agent is intensively monitored whether benefits and badness of purchasing insurance are excessively exaggerated.
And matching the content highly related to the compliance with a knowledge base, completing keyword extraction, customizing topics, topic models or rules, and completing the conversion from unstructured data to structured data.
(3) Through natural language processing technology, the data is converted into structured data, and irrelevant contents of the service are filtered;
(4) and outputting a visual data analysis report, wherein the report can be displayed in a data billboard form, and the establishment of the billboard dimension and the definition of the index are completed and expanded around the insurance sales process, so that the multi-angle analysis is realized.
Therefore, the online marketing service full-process speech monitoring method and system for the insurance broker can realize the online marketing service full-process quality inspection of the insurance broker by monitoring the online marketing service full-process speech of the insurance broker and applying the natural language processing of the text and the knowledge map modeling technology in a vertical scene on the premise of data hidden protection, thereby effectively promoting the internal control management, the compliance operation and the effective supervision of the insurance broker.
It should be noted that the steps illustrated in the above-described flow diagrams or in the flow diagrams of the figures may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flow diagrams, in some cases, the steps illustrated or described may be performed in an order different than here. The embodiment of the application provides an enterprise wechat session evaluation system, which is suitable for the enterprise wechat session evaluation method. As used below, the terms "unit," "module," and the like may implement a combination of software and/or hardware of predetermined functions. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of an enterprise wechat session evaluation system according to the present invention, please refer to fig. 2, which includes:
session derivation unit 1: archiving and exporting the session data in the enterprise WeChat by utilizing an API interface tool; optionally, the system further comprises a non-text data conversion module 11, which is used for converting the non-text data in the enterprise WeChat into text data; the non-text data comprises conversation duration and toolbar use conditions; optionally, the conversational speech is converted to text using a natural language recognition technique.
The session processing unit 2: all the session data exported by the session exporting unit 1 are unstructured data, and the session data are processed into structured session data through a natural language processing algorithm; optionally, any natural language processing algorithm capable of converting unstructured data into structured data may be selected in the embodiment of the present application; optionally, the system further includes a session filtering module 21, which sets a second preset criterion, and filters and discards content that does not meet the second preset criterion in the session data.
The session evaluation unit 3: automatically evaluating the structured session data according to a first preset standard, and outputting an evaluation result; optionally, the preset standard is a session evaluation knowledge base, and the session evaluation knowledge base is constructed through a knowledge graph model.
The visualization unit 4: and visualizing the evaluation result through a data billboard.
In addition, one enterprise wechat session evaluation method described in connection with fig. 1 may be implemented by an electronic device. Fig. 3 is a block diagram of an electronic device of the present invention.
The electronic device may comprise a processor 61 and a memory 62 in which computer program instructions are stored.
Specifically, the processor 61 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The memory 62 may be used to store or cache various data files that need to be processed and/or used for communication, as well as possible computer program instructions executed by the processor 61.
The processor 61 may implement any one of the above-described embodiments of the enterprise wechat session evaluation methods by reading and executing computer program instructions stored in the memory 62.
In some of these embodiments, the electronic device may also include a communication interface 63 and a bus 60. As shown in fig. 3, the processor 61, the memory 62, and the communication interface 63 are connected via a bus 60 to complete communication therebetween.
The communication port 63 may be implemented with other components such as: the data communication is carried out among external equipment, image/data acquisition equipment, a database, external storage, an image/data processing workstation and the like.
The bus 60 includes hardware, software, or both to couple the components of the electronic device to one another. Bus 60 includes, but is not limited to, at least one of the following: data Bus (Data Bus), Address Bus (Address Bus), Control Bus (Control Bus), Expansion Bus (Expansion Bus), and Local Bus (Local Bus). By way of example, and not limitation, Bus 60 may include an Accelerated Graphics Port (AGP) or other Graphics Bus, an Enhanced Industry Standard Architecture (EISA) Bus, a Front-Side Bus (FSB), a Hyper Transport (HT) Interconnect, an ISA (ISA) Bus, an InfiniBand (InfiniBand) Interconnect, a Low Pin Count (LPC) Bus, a memory Bus, a microchannel Architecture (MCA) Bus, a PCI (Peripheral Component Interconnect) Bus, a PCI-Express (PCI-X) Bus, a Serial Advanced Technology Attachment (SATA) Bus, a Video Electronics Bus (audio Electronics Association), abbreviated VLB) bus or other suitable bus or a combination of two or more of these. Bus 60 may include one or more buses, where appropriate. Although specific buses are described and shown in the embodiments of the application, any suitable buses or interconnects are contemplated by the application.
The electronic device can execute the enterprise wechat session evaluation method in the embodiment of the application.
In addition, in combination with the enterprise wechat session evaluation method in the foregoing embodiments, the embodiments of the present application may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the above embodiments of the enterprise wechat session evaluation methods.
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.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An enterprise WeChat session evaluation method is characterized by comprising the following steps:
a session export step, namely archiving and exporting the enterprise WeChat session data;
a conversation processing step, wherein the conversation data is processed into structured conversation data through a natural language processing algorithm;
a session evaluation step, namely automatically evaluating the structured session data according to a first preset standard and outputting an evaluation result;
and a visualization step, wherein the evaluation result is visualized through a data billboard.
2. The enterprise wechat session evaluation method of claim 1, wherein the session export step further comprises:
a non-text data conversion step, namely converting the non-text data in the enterprise WeChat into text data; the non-text data includes conversation voice, conversation duration, and toolbar usage.
3. The enterprise wechat session evaluation method of claim 1, wherein the session processing step further comprises:
and a session filtering step, namely setting a second preset standard, and filtering and discarding the contents which do not meet the second preset standard in the session data.
4. The enterprise WeChat session evaluation method of claim 1, wherein the predetermined criteria is a session evaluation knowledge base implemented by knowledge graph model construction.
5. An enterprise WeChat session evaluation system, comprising:
the session export unit is used for archiving and exporting the enterprise WeChat session data;
the conversation processing unit is used for processing the conversation data into structured conversation data through a natural language processing algorithm;
the session evaluation unit is used for automatically evaluating the structured session data according to a first preset standard and outputting an evaluation result;
and the visualization unit is used for visualizing the evaluation result through a data billboard.
6. The enterprise wechat session evaluation system of claim 5, the session export unit further comprising:
the non-text data conversion module is used for converting the non-text data in the enterprise WeChat into text data; the non-text data includes conversation voice, conversation duration, and toolbar usage.
7. The enterprise wechat session evaluation system of claim 5, the session processing unit further comprising:
and the session filtering module is used for setting a second preset standard, filtering and discarding the contents which do not meet the second preset standard in the session data.
8. The enterprise WeChat session evaluation system of claim 5, wherein the predetermined criteria is a session evaluation knowledge base implemented by knowledge graph model building.
9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the enterprise wechat session evaluation method of any of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the enterprise wechat session evaluation method according to any one of claims 1 to 4.
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| CN113127620A (en) * | 2021-04-19 | 2021-07-16 | 上海明略人工智能(集团)有限公司 | Marketing process management method, marketing process management system, electronic equipment and readable storage medium |
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