Method, device and equipment for monitoring communication data and computer readable medium

Abstract

The invention discloses a method, device and equipment for monitoring communication data and a computer readable medium, and relates to the technical field of big data. A specific embodiment of the method comprises the following steps: in response to an operation of a user on a publishing page, acquiring communication data in the publishing page, and identifying an emotion tag of the communication data and a keyword of the communication data; sending and displaying prompt information according to the emotion tag of the communication data and sensitive words in the keywords of the communication data, and displaying the communication data in a display page in response to a release operation instruction; and collecting interaction operation of the communication data in real time, and according to the interaction operation of the communication data, an operator of the interaction operation, a user, the emotion label of the communication data and the keyword of the communication data, identifying the risk level of the communication data in combination with the communication data monitoring model so as to process the communication data according to the risk level. According to the embodiment, the efficiency, accuracy and response speed of processing the communication data can be improved.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a method, device, equipment and computer-readable medium for monitoring communication data. Background Art

[0002] At present, more and more medium and large enterprises, schools, and institutions have their own forums. Forums are platforms for promoting internal communication, collecting employee feedback, enhancing employee participation, promoting problem solving, strengthening corporate culture, and injecting momentum into corporate development.

[0003] In the process of implementing the present invention, the inventors found that there are at least the following problems in the prior art: the forum has a specific user group and communication data. Manual processing of communication data is inefficient, inaccurate and slow in response. Summary of the invention

[0004] In view of this, embodiments of the present invention provide a method, apparatus, device and computer-readable medium for monitoring communication data, which can improve the efficiency, accuracy and response speed of processing communication data.

[0005] To achieve the above object, according to one aspect of an embodiment of the present invention, a method for monitoring communication data is provided, comprising:

[0006] In response to a user's operation on a publishing page, acquiring communication data in the publishing page, and identifying an emotion tag of the communication data and a keyword of the communication data;

[0007] Send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on the display page in response to the release operation instruction;

[0008] For the communication data in the display page, the interactive operations of the communication data are collected in real time, and the risk level of the communication data is identified based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data, combined with the monitoring communication data model, so as to process the communication data according to the risk level.

[0009] The step of obtaining communication data in the publishing page in response to the user's operation on the publishing page and identifying the emotion tags and keywords of the communication data includes:

[0010] Monitoring the publishing page to learn the user's operation on the publishing page, parsing the operation on the publishing page to obtain communication data on the publishing page, wherein the communication data includes one or more of text, image and voice;

[0011] Natural language processing technology is used to identify emotional tags of the communication data and keywords of the communication data.

[0012] The sending and displaying of prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and displaying the communication data on the display page in response to the publishing operation instruction, includes:

[0013] Identify sensitive words in the keywords of the communication data according to the current time and the sensitive vocabulary library, and send and display prompt information according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data;

[0014] After the banned words in the communication data are blocked according to the banned word library, the blocked communication data is displayed on the display page in response to the publishing operation instruction.

[0015] The method further comprises: collecting interactive operations of the communication data in real time for the communication data displayed on the display page, and identifying the risk level of the communication data in combination with the monitoring communication data model according to the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data, and the keywords of the communication data, so as to process the communication data according to the risk level, including:

[0016] For the communication data in the display page, collect interactive operations of the communication data in real time, wherein the interactive operations include one or more of the following: number of praises, number of favorites, number of comments, number of reposts and number of views, and identify interactive operation conditions based on the interactive operations;

[0017] constructing data operation conditions for the communication data according to the emotion tags of the communication data and the keywords of the communication data;

[0018] Establishing object operation conditions according to the historical data operation records of the operator of the interactive operation and the historical data operation records of the user;

[0019] The risk level of the communication data is identified according to the interactive operation condition, the data operation condition and the object operation condition in combination with a monitoring communication data model, so as to process the communication data according to the risk level.

[0020] The interactive operations of the communication data in the display page are collected in real time, and the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views, and the interactive operation conditions are identified based on the interactive operations, including:

[0021] For the communication data in the display page, collect the interactive operations of the communication data in real time, wherein the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views;

[0022] The interactive operation is input into an interactive operation model to identify interactive operation conditions, wherein the interactive operation model is trained based on historical interactive parameters.

[0023] The step of identifying the risk level of the communication data according to the interactive operation condition, the data operation condition and the object operation condition in combination with the monitoring communication data model, so as to process the communication data according to the risk level, includes:

[0024] updating the monitoring communication data model according to the interactive operation history conditions, the data operation history conditions and the object operation history conditions;

[0025] According to the interactive operation condition, the data operation condition and the object operation condition, in combination with the updated monitoring communication data model, the risk level of the communication data is identified;

[0026] A risk information sending method of the communication data and a sending target of the risk information are determined based on the risk level, and the communication data is sent to the sending target of the risk information according to the risk information sending method.

[0027] The method further comprises:

[0028] The monitoring communication data model is adjusted using the communication history data of high risk levels to improve the accuracy of the monitoring communication data model in identifying communication data of high risk levels.

[0029] According to a second aspect of an embodiment of the present invention, there is provided a device for monitoring communication data, comprising:

[0030] An identification module, for obtaining communication data in the publishing page in response to a user's operation on the publishing page, and identifying emotion tags and keywords of the communication data;

[0031] A display module, configured to send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on a display page in response to a publishing operation instruction;

[0032] The monitoring module is used to collect the interactive operations of the communication data in real time with respect to the communication data in the display page, and identify the risk level of the communication data based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data in combination with the monitoring communication data model, so as to process the communication data according to the risk level.

[0033] According to a third aspect of an embodiment of the present invention, there is provided an electronic device for monitoring communication data, comprising:

[0034] one or more processors;

[0035] a storage device for storing one or more programs,

[0036] When the one or more programs are executed by the one or more processors, the one or more processors implement the above method.

[0037] According to a fourth aspect of an embodiment of the present invention, there is provided a computer-readable medium on which a computer program is stored, and when the program is executed by a processor, the method as described above is implemented.

[0038] According to a fifth aspect of an embodiment of the present invention, a computer program product is provided, including a computer program, and when the program is executed by a processor, the method as described above provided by an embodiment of the present invention is implemented.

[0039] An embodiment of the above invention has the following advantages or beneficial effects: in response to the user's operation on the publishing page, the communication data in the publishing page is obtained, and the emotional tags of the communication data and the keywords of the communication data are identified; prompt information is sent and displayed according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data, and the communication data is displayed in the display page in response to the publishing operation instruction; for the communication data in the display page, the interactive operation of the communication data is collected in real time, and according to the interactive operation of the communication data, the operator of the interactive operation, the user, the emotional tags of the communication data and the keywords of the communication data, the risk level of the communication data is identified in combination with the monitoring communication data model, so as to process the communication data according to the risk level. The prompt information of the communication data and the risk level of the communication data can be automatically determined without manual intervention, thereby improving the efficiency, accuracy and response speed of processing the communication data.

[0040] The further effects of the above-mentioned non-conventional optional manner will be described below in conjunction with the specific implementation manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to better understand the present invention and do not constitute an improper limitation of the present invention.

[0042] Figure 1 is a schematic diagram of the main flow of a method for monitoring communication data according to an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of a process of identifying emotion tags of communication data and keywords of communication data according to an embodiment of the present invention;

[0044] Figure 3 is a schematic diagram of a process of displaying prompt information and displaying communication data in a display page according to an embodiment of the present invention;

[0045] Figure 4 is a schematic diagram of a process of identifying the risk level of communication data in combination with a monitoring communication data model according to an embodiment of the present invention;

[0046] Figure 5 is a schematic diagram of a flow chart of interactive operation conditions based on interactive operation identifiers according to an embodiment of the present invention;

[0047] Figure 6 is a schematic diagram of a process for processing communication data according to risk levels according to an embodiment of the present invention;

[0048] Figure 7 is a schematic diagram of the main structure of a device for monitoring AC data according to an embodiment of the present invention;

[0049] Figure 8 is an exemplary system architecture diagram to which embodiments of the present invention may be applied;

[0050] Fig. 9 It is a schematic diagram of the structure of a computer system of a terminal device or a server suitable for implementing an embodiment of the present invention. DETAILED DESCRIPTION

[0051] The following is a description of exemplary embodiments of the present invention in conjunction with the accompanying drawings, including various details of the embodiments of the present invention to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Similarly, for clarity and conciseness, the description of well-known functions and structures is omitted in the following description. The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws and regulations.

[0052] It should be noted that in the embodiments of the present application, certain software, components, models and other existing solutions in the industry may be mentioned, and they should be regarded as exemplary. Their purpose is only to illustrate the feasibility of implementing the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0053] Public forums are mainly aimed at public users, and the following methods are often used to process communication data in open forums.

[0054] Establish community content standards, including prohibited words, prohibited content, and behavioral standards. When users publish communication data, they will be checked for standards. Unrecognizable content will be further subject to manual review. When users publish communication data and manual review cannot accurately control it, access to the communication data will be restricted.

[0055] There are endless public opinions in the forums, many of which are negative, untrue, or even harmful. If these public opinions are not managed in a timely and effective manner, they may have a negative impact on the corporate image, employee morale, and even the operation of the organization. It can be seen that manual processing of communication data is inefficient, inaccurate, and slow to respond.

[0056] In order to solve the problems of low efficiency, poor accuracy and slow response speed in manually processing communication data, the following technical solutions in the embodiments of the present invention may be adopted.

[0057] See also Figure 1 , Figure 1 The main flow chart of the method for monitoring communication data according to an embodiment of the present invention is to remind the user by displaying prompt information, and to quickly identify the risk level of the communication data and process the communication data in time. Figure 1 As shown in 100, the following steps are specifically included:

[0058] S101 . In response to a user's operation on a publishing page, acquiring communication data on the publishing page, and identifying emotion tags and keywords of the communication data.

[0059] In an embodiment of the present invention, the user implements the operation on the publishing page through a terminal. As an example, the terminal includes a mobile terminal or a personal computer. The user establishes communication data by inputting data in the publishing page.

[0060] The server responds to the user's operation on the publishing page, obtains the communication data in the publishing page, and identifies the emotion tags and keywords of the communication data in the communication data.

[0061] See also Figure 2 That is 200, Figure 2This is a flow chart of identifying emotion tags and keywords of communication data according to an embodiment of the present invention. Specifically, it includes the following steps:

[0062] S201, monitoring a publishing page to learn about the user's operations on the publishing page, parsing the operations on the publishing page to obtain communication data in the publishing page, where the communication data includes one or more of text, image, and voice.

[0063] In order to timely learn about the user's operations on the publishing page, you can implement monitoring through tracking on the front end. As an example, embed tracking codes are implanted at key operation points on the publishing page, such as button clicks and data submissions. These tracking points will be triggered when the user performs an operation, and the operation of the publishing page will be sent to the server.

[0064] The server parses the page to obtain the communication data in the published page. The communication data includes one or more of text, image and voice. As an example, the user constructs the communication data by inputting text; the user constructs the communication data by uploading images; and the user constructs the communication data by uploading voice. It is understandable that the communication data has multiple formats.

[0065] S202: Use natural language processing technology to identify emotional tags and keywords of the communication data.

[0066] In an embodiment of the present invention, natural language processing technology is used to identify emotional tags of communication data. Emotional tags are used to identify user emotions in communication data. Considering that user emotions have a greater impact on the risk of communication data. As an example, when the user emotions include excitement or negativity, the risk of communication data is often higher.

[0067] Specifically, pre-defined sentiment dictionaries, such as positive and negative word lists, can be used to match communication data to determine emotional tendencies, and then deep learning models can be used to identify emotional tags.

[0068] exist Figure 2 In the embodiment, by monitoring the user's operations on the publishing page, emotional tags and keywords can be identified in a timely and accurate manner to improve the monitoring effectiveness.

[0069] S102: Send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on the display page in response to the release operation instruction.

[0070] In an embodiment of the present invention, in order to remind the user whether to publish the communication data, prompt information can be sent and displayed according to the emotional tag of the communication data and the sensitive words in the keywords of the communication data. After receiving the publishing operation instruction sent by the user, the communication data is displayed in the display page in response to the publishing operation instruction.

[0071] See also Figure 3 That is 300, Figure 3 The flowchart of displaying prompt information and displaying communication data in a display page according to an embodiment of the present invention includes the following steps:

[0072] S301. Identify sensitive words in the keywords of the communication data according to the current time and the sensitive vocabulary library, and send and display prompt information according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data.

[0073] The keywords of communication data include sensitive words, which are used to characterize the compliance of communication data in the display page. The sensitive word library can be used to identify the sensitive words in the keywords of communication data. The fields of the sensitive word library include field category, sensitive word, and identification time period. The field categories include human resources and finance.

[0074] In an embodiment of the present invention, sensitive words in the keywords of the communication data are identified according to the current time and the sensitive word library. This is to take into account that sensitive words will change over time. As an example, year-end bonuses are usually issued at the end of the year, and the amount of the year-end bonus is prone to controversy. Therefore, from December 20 to December 31, the year-end bonus is a sensitive word. On other dates, the year-end bonus is not a sensitive word.

[0075] The recognition accuracy of sensitive words can be improved by using the fields in the sensitive word library and the current time.

[0076] After identifying sensitive words in the keywords of the communication data according to the current time and the sensitive word library, if the emotional label of the communication data is excitement or negativity, in order to avoid misoperation of the communication data, prompt information can be sent and displayed according to the emotional label of the communication data and the sensitive words in the keywords of the communication data. As an example, the prompt information includes: emotional label: excitement, sensitive word: year-end bonus.

[0077] By sending and displaying prompt information, users are reminded to pay attention to the content of the communication data.

[0078] S302: After shielding banned words in the communication data according to the banned word library, the shielded communication data is displayed on a display page in response to a publishing operation instruction.

[0079] In order to improve the effectiveness of communication data, banned words in communication data are shielded according to the banned word library. The banned word library includes banned words, banned levels and banned measures. The banned levels are used to distinguish the severity of banned words. Banned measures formulate corresponding processing strategies for banned words of different degrees.

[0080] After the communication data is shielded from prohibited words according to the prohibited vocabulary library, the shielded communication data is displayed on the display page in response to the release operation instruction. As an example, the prohibited words are replaced with preset identifiers in the shielded communication data.

[0081] exist Figure 3 In the embodiment, the sensitive word vocabulary library is used to achieve flexible determination of keywords to be suitable for monitoring operations in different time periods.

[0082] S103. For the communication data in the display page, the interactive operations of the communication data are collected in real time, and the risk level of the communication data is identified based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data, combined with the monitoring communication data model, so as to process the communication data according to the risk level.

[0083] In an embodiment of the present invention, for communication data in a display page, interactive operations of the communication data are collected in real time. The purpose of collecting interactive operations is to obtain the risk level of the communication data based on the interactive operations. According to the interactive operations of the communication data, the operators of the interactive operations, the users who publish the communication data, the emotional tags of the communication data, and the keywords of the communication data, the risk level of the communication data is identified in combination with the monitoring communication data model, so as to process the communication data according to the risk level.

[0084] See also Figure 4 That is 400, Figure 4 This is a schematic diagram of a process for identifying the risk level of communication data in combination with a monitoring communication data model according to an embodiment of the present invention. Specifically, the following steps are included:

[0085] S401. Collect interactive operations of the communication data in real time for the communication data in the display page. The interactive operations include one or more of the following: number of praises, number of favorites, number of comments, number of reposts and number of views, and identify interactive operation conditions based on the interactive operations.

[0086] When the communication data is displayed on the display page, multiple users perform interactive operations on the communication data. As an example, the interactive operations include one or more of the following: the number of praises, the number of favorites, the number of comments, the number of reposts, and the number of views. The interactive operation conditions can be identified according to the interactive operation. The interactive operation conditions are interactive operation parameters that identify the communication data.

[0087] See also Figure 5 That is 500, Figure 5 This is a flow chart of interactive operation conditions based on interactive operation identifiers according to an embodiment of the present invention. Specifically, it includes the following steps:

[0088] S501. Collect interactive operations of the communication data in real time for the communication data in the display page. The interactive operations include one or more of the following: number of praises, number of favorites, number of comments, number of reposts, and number of views.

[0089] For the communication data in the display page, the interactive operations of the communication data are collected in real time, where the interactive operations include one or more of the following: number of praises, number of collections, number of comments, number of reposts and number of views.

[0090] As an example, the number of likes is recorded as L, the number of favorites is recorded as F, the number of comments is recorded as C, the number of reposts is recorded as R, and the number of views is recorded as V.

[0091] S502: Input the interactive operation into an interactive operation model to identify interactive operation conditions. The interactive operation model is trained based on historical interactive parameters.

[0092] In an embodiment of the present invention, an interactive operation model is used to obtain interactive operation conditions. The interactive operation model is obtained by training based on historical interactive parameters. As an example, the interactive operation model includes Formula 1.

[0093] D=L* +F* +C* +R* +V* . .... =1,0≤ ..... ≤1. Formula 1

[0094] exist Figure 5 In the embodiment, the interactive operation is used to obtain the interactive operation condition to reflect the influence of the communication data on the interactive operation.

[0095] S402: construct data operation conditions for the communication data according to the emotion tags of the communication data and the keywords of the communication data.

[0096] Starting from the communication data itself, based on the emotional tags and keywords of the communication data, the data operation conditions of the communication data are constructed. As an example, the emotional tags of the communication data are recorded as e. The keywords of the communication data include sensitive words and banned words. The number of times sensitive words and banned words appear is recorded as m.

[0097] According to the emotional tags of the communication data and the sensitive words and prohibited words in the keywords of the communication data, the data operation conditions of the communication data are constructed. The emotional tags of the communication data and the sensitive words and prohibited words in the keywords of the communication data can be input into the data operation model to obtain the data operation conditions.

[0098] As an example, the data operation model includes Formula 2.

[0099] S= *m+ *e. ,0≤ , ≤1. Formula 2

[0100] S403: Establish object operation conditions according to the historical data operation records of the operator of the interactive operation and the historical data operation records of the user.

[0101] The execution subject of the interactive operation and the execution subject of the communication data are the basis for judging the risk level of the communication data. Among them, the execution subject of the interactive operation is the operator of the interactive operation, and the execution subject of the communication data is the user who publishes the communication data. The object operation conditions can be established based on the historical data operation records of the operator of the interactive operation and the historical data operation records of the user.

[0102] As an example, the historical data operation records of the operator of the interactive operation and the historical data operation records of the user are input into the object operation model, and the object operation model outputs the object operation condition. The object operation model includes Formula 3.

[0103] P= + + + . .... =1,0≤ ..... ≤1. Formula 3

[0104] ... is the number of negative behaviors in the historical data operation records of the interactive operator and the historical data operation of the user. In formula 3, n is the type of negative behavior.

[0105] S404: Identify the risk level of the communication data according to the interactive operation conditions, data operation conditions and object operation conditions in combination with the monitoring communication data model, so as to process the communication data according to the risk level.

[0106] After the interactive operation conditions, data operation conditions and object operation conditions are determined, the risk level of the communication data can be identified in combination with the monitoring communication data model. As an example, the monitoring communication data model includes formula 4. H is the risk score, and the risk level of the communication data is obtained according to the risk level threshold and the risk score.

[0107] H = *S + *D + *P Formula 4

[0108] in, + + = 1. S is the data operation condition, D is the interaction operation condition, and P is the object operation condition.

[0109] exist Figure 4 In the embodiment, the risk level of the communication data is identified based on the various operations involved in the communication data, and then the communication data is processed in a targeted manner according to the risk level.

[0110] See also Figure 6 That is 600, Figure 6 This is a flow chart of processing communication data according to risk levels according to an embodiment of the present invention. Specifically, it includes the following steps:

[0111] S601. Update the monitoring communication data model according to the interactive operation history conditions, the data operation history conditions and the object operation history conditions.

[0112] In one embodiment of the present invention, in order to improve the accuracy of the risk level, the monitoring communication data model can be updated according to the interactive operation history conditions, data operation history conditions and object operation history conditions. The risk levels corresponding to the interactive operation history conditions, data operation history conditions and object operation history conditions are known, and the communication data model is updated according to the history conditions. Moreover, as the number of history conditions increases, the accuracy of the risk level determined by the updated communication data model increases accordingly.

[0113] S602: Identify the risk level of the communication data according to the interactive operation conditions, data operation conditions and object operation conditions in combination with the updated monitoring communication data model.

[0114] The interactive operation conditions, data operation conditions and object operation conditions are input into the new monitoring communication data model to obtain the risk level of the communication data.

[0115] S603: Determine a risk information sending method and a sending target of the risk information of the communication data based on the risk level, and send the communication data to the sending target of the risk information according to the risk information sending method.

[0116] In an embodiment of the present invention, different risk levels correspond to different risk information sending methods and risk information sending targets of communication data. The risk information sending method and risk information sending target of communication data are determined according to the risk level, and then the communication data is sent to the risk information sending target according to the risk information sending method.

[0117] As an example, at a low risk level, the risk information of the communication data is sent in a way that includes risk information, and the recipients of the risk information include: databases. At a medium risk level, the risk information of the communication data is sent in a way that includes instant messages, such as text messages or system messages, and the recipients of the risk information include: administrators. At a high risk level, the risk information of the communication data is sent in a way that includes alarm messages, and the recipients of the risk information include: information management layers.

[0118] exist Figure 6 In an embodiment, an updated monitoring communication data model is used to improve the accuracy of the risk level.

[0119] In one embodiment of the present invention, in order to improve the accuracy of the monitoring communication data model for high risk level monitoring, the monitoring communication data model can be adjusted using high risk level communication history data to improve the accuracy of the monitoring communication data model in identifying high risk level communication data.

[0120] As an example, the monitoring communication data model is adjusted using the interaction operation conditions, data operation conditions, and object operation conditions of the communication history data at a high risk level.

[0121] In the above embodiment, in response to the user's operation on the publishing page, the communication data in the publishing page is obtained, and the emotional tags of the communication data and the keywords of the communication data are identified; prompt information is sent and displayed according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data, and the communication data is displayed in the display page in response to the publishing operation instruction; for the communication data in the display page, the interactive operation of the communication data is collected in real time, and according to the interactive operation of the communication data, the operator of the interactive operation, the user, the emotional tags of the communication data and the keywords of the communication data, the risk level of the communication data is identified in combination with the monitoring communication data model, so as to process the communication data according to the risk level. The prompt information of the communication data and the risk level of the communication data can be automatically determined without manual intervention, thereby improving the efficiency, accuracy and response speed of processing the communication data.

[0122] See also Figure 7 , Figure 7 is a schematic diagram of the main structure of the device for monitoring AC data according to an embodiment of the present invention. The device for monitoring AC data can implement a method for monitoring AC data, such as Figure 7 As shown in 700, the device for monitoring communication data specifically includes:

[0123] The identification module 701 is used to obtain the communication data in the publishing page in response to the user's operation on the publishing page, and identify the emotion tags and keywords of the communication data;

[0124] Display module 702, used to send and display prompt information according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on the display page in response to the release operation instruction;

[0125] The monitoring module 703 is used to collect the interactive operations of the communication data in real time with respect to the communication data in the display page, and identify the risk level of the communication data based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data in combination with the monitoring communication data model, so as to process the communication data according to the risk level.

[0126] In one embodiment of the present invention, the identification module 701 is specifically used to monitor the publishing page to learn the user's operation on the publishing page, analyze the operation on the publishing page to obtain the communication data on the publishing page, and the communication data includes one or more of text, image and voice;

[0127] Natural language processing technology is used to identify emotional tags of the communication data and keywords of the communication data.

[0128] In one embodiment of the present invention, the display module 702 is specifically configured to identify sensitive words in the keywords of the communication data according to the current time and the sensitive vocabulary library, so as to send and display prompt information according to the emotional tag of the communication data and the sensitive words in the keywords of the communication data;

[0129] After the banned words in the communication data are blocked according to the banned word library, the blocked communication data is displayed on the display page in response to the publishing operation instruction.

[0130] In one embodiment of the present invention, the monitoring module 703 is specifically used to collect interactive operations of the communication data in real time for the communication data in the display page, wherein the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views, and identify interactive operation conditions based on the interactive operations;

[0131] constructing data operation conditions for the communication data according to the emotion tags of the communication data and the keywords of the communication data;

[0132] Establishing object operation conditions according to the historical data operation records of the operator of the interactive operation and the historical data operation records of the user;

[0133] The risk level of the communication data is identified according to the interactive operation condition, the data operation condition and the object operation condition in combination with a monitoring communication data model, so as to process the communication data according to the risk level.

[0134] In one embodiment of the present invention, the monitoring module 703 is specifically used to collect interactive operations of the communication data in real time for the communication data in the display page, and the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views;

[0135] The interactive operation is input into an interactive operation model to identify interactive operation conditions, wherein the interactive operation model is trained based on historical interactive parameters.

[0136] In one embodiment of the present invention, the monitoring module 703 is specifically used to update the monitoring communication data model according to the interactive operation history condition, the data operation history condition and the object operation history condition;

[0137] According to the interactive operation condition, the data operation condition and the object operation condition, in combination with the updated monitoring communication data model, the risk level of the communication data is identified;

[0138] A risk information sending method of the communication data and a sending target of the risk information are determined based on the risk level, and the communication data is sent to the sending target of the risk information according to the risk information sending method.

[0139] In one embodiment of the present invention, the monitoring module 703 is specifically configured to use high-risk communication history data to adjust the monitoring communication data model to improve the accuracy of the monitoring communication data model in identifying high-risk communication data.

[0140] Figure 8 An exemplary system architecture 800 is shown to which the method for monitoring AC data or the apparatus for monitoring AC data according to the embodiments of the present invention can be applied.

[0141] like Figure 8 As shown, system architecture 800 may include terminal devices 801, 802, 803, a network 804, and a server 805. Network 804 is used to provide a medium for communication links between terminal devices 801, 802, 803 and server 805. Network 804 may include various connection types, such as wired, wireless communication links, or optical fiber cables, etc.

[0142] Users can use terminal devices 801, 802, and 803 to interact with server 805 through network 804 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 801, 802, and 803, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).

[0143] The terminal devices 801 , 802 , and 803 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0144] The server 805 may be a server that provides various services, such as a backend management server (only an example) that provides support for shopping websites browsed by users using the terminal devices 801, 802, and 803. The backend management server may analyze and process the received data such as product information query requests, and feed back the processing results (such as target push information, product information - only an example) to the terminal device.

[0145] It should be noted that the method for monitoring communication data provided in the embodiment of the present invention is generally executed by the server 805 , and accordingly, the device for monitoring communication data is generally disposed in the server 805 .

[0146] It should be understood that Figure 8 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0147] A computer program product according to an embodiment of the present invention includes a computer program. When the program is executed by a processor, the method for monitoring communication data provided by the embodiment of the present invention is implemented.

[0148] Reference below Fig. 9 , which shows a schematic diagram of the structure of a computer system 900 of a terminal device suitable for implementing an embodiment of the present invention. Fig. 9 The terminal device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0149] like Fig. 9As shown, the computer system 900 includes a central processing unit (CPU) 901, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 902 or a program loaded from a storage part 908 into a random access memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the system 900 are also stored. The CPU 901, the ROM 902, and the RAM 903 are connected to each other through a bus 904. An input / output (I / O) interface 905 is also connected to the bus 904.

[0150] The following components are connected to the I / O interface 905: an input section 906 including a keyboard, a mouse, etc.; an output section 907 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 908 including a hard disk, etc.; and a communication section 909 including a network interface card such as a LAN card, a modem, etc. The communication section 909 performs communication processing via a network such as the Internet. A drive 910 is also connected to the I / O interface 905 as needed. A removable medium 911, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 910 as needed, so that a computer program read therefrom is installed into the storage section 908 as needed.

[0151] In particular, according to the embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 909, and / or installed from the removable medium 911. When the computer program is executed by the central processing unit (CPU) 901, the above-mentioned functions defined in the system of the present invention are executed.

[0152] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0153] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0154] The modules involved in the embodiments of the present invention may be implemented in software or hardware. The modules described may also be arranged in a processor. For example, they may be described as: a processor including an identification module, a display module and a monitoring module. The names of these modules do not constitute limitations on the modules themselves in certain cases. For example, the identification module may also be described as "used to send and display prompt information based on the emotional tags of the communication data and the sensitive words in the keywords of the communication data, and to display the communication data in the display page in response to the release operation instructions".

[0155] As another aspect, the present invention further provides a computer-readable medium, which may be included in the device described in the above embodiment; or may exist independently without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by a device, the device includes:

[0156] In response to a user's operation on a publishing page, acquiring communication data in the publishing page, and identifying an emotion tag of the communication data and a keyword of the communication data;

[0157] Send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on the display page in response to the release operation instruction;

[0158] For the communication data in the display page, the interactive operations of the communication data are collected in real time, and the risk level of the communication data is identified based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data, combined with the monitoring communication data model, so as to process the communication data according to the risk level.

[0159] According to the technical solution of the embodiment of the present invention, in response to the user's operation on the publishing page, the communication data in the publishing page is obtained, and the emotional tags of the communication data and the keywords of the communication data are identified; prompt information is sent and displayed according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data, and the communication data is displayed in the display page in response to the publishing operation instruction; for the communication data in the display page, the interactive operation of the communication data is collected in real time, and according to the interactive operation of the communication data, the operator of the interactive operation, the user, the emotional tags of the communication data and the keywords of the communication data, the risk level of the communication data is identified in combination with the monitoring communication data model, so as to process the communication data according to the risk level. The prompt information of the communication data and the risk level of the communication data can be automatically determined without manual intervention, thereby improving the efficiency, accuracy and response speed of processing the communication data.

[0160] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0161] It should be noted that in the technical solution of the present invention, the collection, analysis, use, transmission, storage and other aspects of user personal information involved are in compliance with the provisions of relevant laws and regulations, are used for legal and reasonable purposes, are not shared, leaked or sold outside of these legal uses, and are subject to supervision and management by regulatory authorities. Necessary measures should be taken for user personal information to prevent illegal access to such personal information data, ensure that persons who have access to personal information data comply with the provisions of relevant laws and regulations, and ensure the security of user personal information. Once these user personal information data are no longer needed, the risks should be minimized by limiting or even prohibiting data collection and / or deleting data.

[0162] When applicable, including in certain relevant applications, protect user privacy by de-identifying data, such as by removing specific identifiers (e.g., date of birth, etc.) when applicable, controlling the amount or specificity of data stored (e.g., collecting location data at a city level rather than at a specific address level), controlling how data is stored, and / or other de-identification methods.

Claims

1. A method for monitoring communication data, characterized in that: include: In response to a user's operation on a publishing page, acquiring communication data in the publishing page, and identifying an emotion tag of the communication data and a keyword of the communication data; Send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on the display page in response to the release operation instruction; For the communication data in the display page, the interactive operations of the communication data are collected in real time, and the risk level of the communication data is identified based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data, combined with the monitoring communication data model, so as to process the communication data according to the risk level.

2. The method for monitoring communication data according to claim 1, characterized in that: The step of obtaining communication data in the publishing page in response to the user's operation on the publishing page and identifying the emotion tags and keywords of the communication data includes: Monitoring the publishing page to learn the user's operation on the publishing page, parsing the operation on the publishing page to obtain communication data on the publishing page, wherein the communication data includes one or more of text, image and voice; Natural language processing technology is used to identify emotional tags of the communication data and keywords of the communication data.

3. The method for monitoring communication data according to claim 1, characterized in that: The sending and displaying of prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and displaying the communication data on the display page in response to the publishing operation instruction, includes: Identify sensitive words in the keywords of the communication data according to the current time and the sensitive vocabulary library, and send and display prompt information according to the emotional tags of the communication data and the sensitive words in the keywords of the communication data; After the banned words in the communication data are blocked according to the banned word library, the blocked communication data is displayed on the display page in response to the publishing operation instruction.

4. The method for monitoring communication data according to claim 1, characterized in that: The method further comprises: collecting interactive operations of the communication data in real time for the communication data displayed on the display page, and identifying the risk level of the communication data in combination with the monitoring communication data model according to the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data, and the keywords of the communication data, so as to process the communication data according to the risk level, including: For the communication data in the display page, collect interactive operations of the communication data in real time, wherein the interactive operations include one or more of the following: number of praises, number of favorites, number of comments, number of reposts and number of views, and identify interactive operation conditions based on the interactive operations; constructing data operation conditions for the communication data according to the emotion tags of the communication data and the keywords of the communication data; Establishing object operation conditions according to the historical data operation records of the operator of the interactive operation and the historical data operation records of the user; The risk level of the communication data is identified according to the interactive operation condition, the data operation condition and the object operation condition in combination with a monitoring communication data model, so as to process the communication data according to the risk level.

5. The method for monitoring communication data according to claim 4, characterized in that: The interactive operations of the communication data in the display page are collected in real time, and the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views, and the interactive operation conditions are identified based on the interactive operations, including: For the communication data in the display page, collect the interactive operations of the communication data in real time, wherein the interactive operations include one or more of the following: the number of praises, the number of collections, the number of comments, the number of reposts and the number of views; The interactive operation is input into an interactive operation model to identify interactive operation conditions, wherein the interactive operation model is trained based on historical interactive parameters.

6. The method for monitoring communication data according to claim 4, characterized in that: The step of identifying the risk level of the communication data according to the interactive operation condition, the data operation condition and the object operation condition in combination with the monitoring communication data model, so as to process the communication data according to the risk level, includes: updating the monitoring communication data model according to the interactive operation history conditions, the data operation history conditions and the object operation history conditions; According to the interactive operation condition, the data operation condition and the object operation condition, in combination with the updated monitoring communication data model, the risk level of the communication data is identified; A risk information sending method of the communication data and a sending target of the risk information are determined based on the risk level, and the communication data is sent to the sending target of the risk information according to the risk information sending method.

7. The method for monitoring AC data according to any one of claims 1 to 6, characterized in that: The method further comprises: The monitoring communication data model is adjusted using the communication history data of high risk levels to improve the accuracy of the monitoring communication data model in identifying communication data of high risk levels.

8. A device for monitoring communication data, characterized in that: include: An identification module, for obtaining communication data in the publishing page in response to a user's operation on the publishing page, and identifying emotion tags and keywords of the communication data; A display module, configured to send and display prompt information according to the emotion tag of the communication data and the sensitive words in the keywords of the communication data, and display the communication data on a display page in response to a publishing operation instruction; The monitoring module is used to collect the interactive operations of the communication data in real time with respect to the communication data in the display page, and identify the risk level of the communication data based on the interactive operations of the communication data, the operators of the interactive operations, the users, the emotional tags of the communication data and the keywords of the communication data in combination with the monitoring communication data model, so as to process the communication data according to the risk level.

9. An electronic device for monitoring communication data, characterized in that: include: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

10. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

11. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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