A method and device for processing data disseminated on a social platform

Abstract

The present application provides a method and device for processing communication data on a social platform, wherein the processing method includes: obtaining the communication data of a target brand from a social platform based on the official name and / or popular name of the target brand; if the target brand is an easily confused brand, judging whether the communication data of the target brand is brand-related data based on the auxiliary keywords and exclusion keywords of the target brand; if the communication data of the target brand is brand-related data, judging whether the communication data of the target brand is industry-related data based on the industry characteristic words of the industry in which the target brand is located; if the communication data of the target brand is industry-related data, statistics are performed on the communication data of the target brand based on statistical rules to determine the communication characteristic information of the target brand on the social platform. The present application screens the communication data from two levels, namely, the brand and the industry, to reduce the generation of interference data and improve the accuracy of the communication data processing results.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a method and device for processing data disseminated on a social platform. Background Art

[0002] With the vigorous development of social networks, social platforms have gradually become the main marketing channel for brands. Users can also express their opinions and suggestions on various products on social platforms, which generates a large amount of product-related data on social platforms. This data is of extremely important value to brands. Brands can upgrade and optimize products based on this data and determine the next stage of marketing plans for the products.

[0003] At present, when collecting data of a designated brand on social platforms, some interference data will usually be collected. For example, when collecting data of the beauty brand "Etude House", its data will be mixed with data of a similar brand "Etude House". This will cause too much interference data in the data of the designated brand, and the data processing results based on the interference data will have low accuracy. Summary of the invention

[0004] In view of this, the purpose of the embodiments of the present application is to provide a method and device for processing communication data on a social platform, to screen the acquired communication data from two levels: brand and industry, to reduce the generation of interference data, and to improve the accuracy of communication data processing results.

[0005] In a first aspect, an embodiment of the present application provides a method for processing dissemination data on a social platform, the processing method comprising:

[0006] Based on the official name and / or popular name of the target brand, obtaining communication data of the target brand from the social platform;

[0007] If the target brand is an easily confused brand, then based on the auxiliary keywords and exclusion keywords of the target brand, determine whether the communication data of the target brand is brand-related data; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded from the communication data of the target brand;

[0008] If the target brand's communication data is brand-related data, judging whether the target brand's communication data is industry-related data based on the industry characteristic words of the industry to which the target brand belongs;

[0009] If the communication data of the target brand is industry-related data, the communication data of the target brand is counted based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information includes at least: volume, daily volume trend, daily feature word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators.

[0010] In a possible implementation manner, the processing method further includes:

[0011] Obtain the communication indicators of other brands in the industry of the target brand;

[0012] Based on the communication index of the target brand and the communication indexes of the other brands, determine the index ranking of the communication index of the target brand in the industry;

[0013] Based on the ranking of the target brand's communication indicators in the industry, a preset calculation function is used to calculate the social influence index of the target brand in the industry.

[0014] In a possible implementation manner, the processing method further includes:

[0015] Based on the communication characteristic information of the target brand on the social platform and the indicator ranking of the target brand's communication indicators in the industry, determine the brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand; wherein the brand overview includes at least the indicator ranking, the voice number, and the daily voice trend; the content insights include at least the popular content and the content word cloud; the trend insights include at least the daily feature word volume trend; the media insights include at least the KOL list and the KOL distribution; the crowd portrait includes at least the participating user attribute information list and the participating user attribute information distribution.

[0016] In a possible implementation manner, the processing method further includes:

[0017] After receiving a viewing request carrying a target brand logo sent by a target user, a brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand are sent to the target user.

[0018] In a possible implementation, judging whether the propagation data of the target brand is brand-related data based on the auxiliary keywords and the exclusion keywords of the target brand includes:

[0019] If the propagation data of the target brand includes the auxiliary keyword and does not include the exclusion keyword, it is determined that the propagation data of the target brand is brand-related data.

[0020] In a possible implementation, judging whether the target brand's communication data is industry-related data based on the industry characteristic words of the industry to which the target brand belongs includes:

[0021] The correlation between the industry characteristic words of the industry in which the target brand is located and the communication data of the target brand is calculated. If the correlation is greater than a preset threshold, it is determined that the communication data of the target brand is industry-related data.

[0022] In a possible implementation manner, the processing method further includes:

[0023] Based on the propagation characteristic information of the target brand on the social platform and the marketing characteristic information of each marketing plan, the matching degree between the target brand and each marketing plan is calculated, and the marketing plan with the highest matching degree is used as the target marketing plan.

[0024] In a second aspect, an embodiment of the present application provides a device for processing dissemination data on a social platform, the processing device comprising:

[0025] A first acquisition module is used to acquire the communication data of the target brand from the social platform based on the official name and / or popular name of the target brand;

[0026] A first judgment module is used to judge whether the communication data of the target brand is brand-related data based on the auxiliary keywords and exclusion keywords of the target brand if the target brand is an easily confused brand; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded from the communication data of the target brand;

[0027] A second judgment module is used to judge whether the target brand's dissemination data is industry-related data based on the industry characteristic words of the industry to which the target brand belongs if the target brand's dissemination data is brand-related data;

[0028] The first determination module is used to, if the communication data of the target brand is industry-related data, perform statistics on the communication data of the target brand based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information includes at least: volume number, daily volume trend, daily feature word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators.

[0029] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the memory through the bus, and the processor executes the machine-readable instructions to perform the steps of the method for processing data disseminated on a social platform as described in any one of the first aspects.

[0030] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for processing data disseminated on a social platform as described in any one of the first aspects are executed.

[0031] The embodiment of the present application provides a method and device for processing communication data on a social platform. Based on the official name and / or popular name of the target brand, the communication data of the target brand is obtained from the social platform; if the target brand is an easily confused brand, based on the auxiliary keywords and exclusion keywords of the target brand, it is judged whether the communication data of the target brand is brand-related data; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded in the communication data of the target brand; if the communication data of the target brand is brand-related data, based on the industry characteristic words of the industry in which the target brand is located, it is judged whether the communication data of the target brand is industry-related data; if the communication data of the target brand is industry-related data, the communication data of the target brand is counted based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information at least includes: volume number, daily volume trend, daily characteristic word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication index. The embodiment of the present application screens the acquired communication data from two levels: brand and industry, thereby reducing the generation of interference data and improving the accuracy of the communication data processing results.

[0032] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0034] Figure 1 A flowchart of a method for processing data disseminated on a social platform provided by an embodiment of the present application is shown;

[0035] Figure 2 A flowchart showing another method for processing data disseminated on a social platform provided by an embodiment of the present application is shown;

[0036] Figure 3 A schematic diagram of the structure of a device for processing data disseminated on a social platform provided by an embodiment of the present application is shown;

[0037] Figure 4 A schematic diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0038] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0039] With the booming development of social networks, social platforms have gradually become the main marketing channel for brands. Users can also express their opinions and suggestions on various products on social platforms, which generates a large amount of product-related data on social platforms. This data is extremely valuable to brands. Brands can upgrade and optimize products based on this data and determine the next stage of product marketing plans. At present, when collecting data for a specified brand on social platforms, some interference data is usually collected. For example, when collecting data for the beauty brand "Etude House", its data will be mixed with data from a similar brand "Etude House", which will cause too much interference data in the data of the specified brand, and the data processing results based on the interference data will have low accuracy.

[0040] Based on the above problems, an embodiment of the present application provides a method and device for processing dissemination data on a social platform, which obtains the dissemination data of the target brand from the social platform based on the official name and / or popular name of the target brand; if the target brand is an easily confused brand, then based on the auxiliary keywords and exclusion keywords of the target brand, it is judged whether the dissemination data of the target brand is brand-related data; wherein the auxiliary keywords are essential keywords in the dissemination data of the target brand, and the exclusion keywords are keywords that must be excluded in the dissemination data of the target brand; if the dissemination data of the target brand is brand-related data, then based on the industry characteristic words of the industry in which the target brand is located, it is judged whether the dissemination data of the target brand is industry-related data; if the dissemination data of the target brand is industry-related data, then based on preset statistical rules, the dissemination data of the target brand is counted to determine the dissemination characteristic information of the target brand on the social platform; wherein the dissemination characteristic information includes at least: volume number, daily volume trend, daily characteristic word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and dissemination index. The embodiment of the present application screens the acquired communication data from two levels: brand and industry, thereby reducing the generation of interference data and improving the accuracy of the communication data processing results.

[0041] The defects existing in the above solutions are the results obtained by the inventor after practice and careful research. Therefore, the process of discovering the above problems and the solutions proposed by this application for the above problems below should be the contributions made by the inventor to this application during the application process.

[0042] The technical solutions in the present application will be clearly and completely described below in conjunction with the drawings in the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the present application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0043] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0044] To facilitate understanding of this embodiment, a method for processing data propagated on a social platform disclosed in an embodiment of the present application is first introduced in detail.

[0045] See also Figure 1 As shown, Figure 1 A flowchart of a method for processing data disseminated on a social platform provided in an embodiment of the present application, the processing method comprising:

[0046] S101. Based on the official name and / or popular name of the target brand, obtain communication data of the target brand from a social platform.

[0047] In order to search for the target brand's communication data comprehensively, when searching for communication data on social platforms, not only the official name of the target brand is used for search, but also the popular name of the target brand is used for search. For example, when searching for the communication data of the beauty brand "YSL Saint Laurent Beauty", its popular names "YSL", "Saint Laurent" and "Yang Shulin" are also used. The communication data of the target brand searched on the social platform are: texts, pictures, videos and interactive content related to the target brand posted by users on the social platform, among which interactive content refers to interactive information such as forwarding, commenting, bullet screen and likes of the content posted by users.

[0048] S102. If the target brand is an easily confused brand, determine whether the communication data of the target brand is brand-related data based on the auxiliary keywords and exclusion keywords of the target brand; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded from the communication data of the target brand.

[0049] Brands include easily confused brands and other brands. Easy confused brands are brands with a lot of noise. One type is easily confused with other brands, for example, the beauty brand "Etude House" is easily confused with "Etude House"; the other type is a brand name that is more common, for example, the clothing brand "IT" is easily confused with content related to the IT industry. Brands other than easily confused brands are other brands.

[0050] In order to improve the accuracy of the collected communication data, auxiliary keywords and exclusion keywords are set for each easily confused brand, wherein the auxiliary keywords are essential keywords in the communication data of the easily confused brand, and the exclusion keywords are keywords that must be excluded in the communication data of the easily confused brand. For example, "Etude House" is the exclusion keyword of the easily confused brand "Etude House". Based on the auxiliary keywords and exclusion keywords of the easily confused brand, it is determined whether the communication data of the easily confused brand is brand-related data, that is, the communication data is screened from the brand level. If the communication data of the easily confused brand is not brand-related data, the communication data is determined as interference data and deleted. Here, if the target brand is other brands, step S102 is not used to screen the communication data of the target brand, and step S103 is directly used to screen the communication data of the target brand at the industry level.

[0051] Wherein, judging whether the communication data of the target brand is brand-related data based on the auxiliary keywords and the excluded keywords of the target brand includes:

[0052] If the propagation data of the target brand includes the auxiliary keyword and does not include the exclusion keyword, it is determined that the propagation data of the target brand is brand-related data.

[0053] S103: If the communication data of the target brand is brand-related data, based on the industry characteristic words of the industry to which the target brand belongs, determine whether the communication data of the target brand is industry-related data.

[0054] If the target brand's communication data is brand-related data, it is determined that the communication data has passed the screening at the brand level, and the communication data is further screened at the industry level. Multiple industries and industry characteristic words for each industry are preset, and tens of thousands of brands included are classified and subdivided according to the industry in which the brand is located. The use of industry characteristic words can distinguish different industries and characterize the industry characteristics of the industry in which the target brand is located. The industry characteristic words of the industry in which the target brand is located can be used to determine whether the target brand's communication data is industry-related data. The communication data is screened at the industry level. If it passes the screening, it is determined that the communication data is industry-related data. If it fails to pass the screening, it is determined that the communication data is interference data and the communication data is deleted.

[0055] Wherein, judging whether the communication data of the target brand is industry-related data based on the industry characteristic words of the industry in which the target brand is located includes:

[0056] The correlation between the industry characteristic words of the industry in which the target brand is located and the communication data of the target brand is calculated. If the correlation is greater than a preset threshold, it is determined that the communication data of the target brand is industry-related data.

[0057] The communication data of the target brand includes multiple types of data, such as text, pictures, and videos. The information in the pictures and / or videos is extracted to obtain the corresponding text, and the correlation between the industry characteristic words and the text is calculated. Alternatively, text characteristic words are extracted from the text, and the correlation between the industry characteristic words and the text characteristic words is calculated. The greater the correlation, the higher the possibility that the communication data belongs to the industry. If the correlation is greater than the preset threshold, the communication data of the target brand is determined to be industry-related data, that is, it has passed the industry-level screening. The preset threshold here can be set according to the actual needs of the user.

[0058] S104. If the communication data of the target brand is industry-related data, the communication data of the target brand is counted based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information includes at least: volume, daily volume trend, daily feature word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators.

[0059] If the target brand's communication data is brand-related data, it is determined that the communication data has passed the brand-level screening. If the target brand's communication data is industry-related data, it is determined that the communication data has passed the industry-level screening. If the communication data has passed both the brand-level screening and the industry-level screening, the possibility that the communication data is interference data is excluded, and the target brand's communication data can be further statistically analyzed to obtain the target brand's communication characteristic information. When using the preset statistical rules for statistical analysis, it specifically includes:

[0060] 1. Count the total amount of content of the target brand, which is the volume of voice.

[0061] 2. Count the number of content of the target brand by date. Count the number of content of the target brand every day, which is the daily volume trend.

[0062] 3. Extract preset feature words from the target brand’s content, count the number of feature words of the target brand by date, and count the number of feature words of the target brand every day, which is the daily feature word volume trend.

[0063] 4. Content that meets certain requirements in terms of reposts, comments, bullet screens, and likes is determined as popular content. Specific judgment rules can be set according to the actual needs of users. For example, content with more than 1,000 reposts and more than 2,000 likes is determined as popular content, and popular content and its content word cloud are counted.

[0064] 5. KOL (Key Opinion Leader) refers to a social account with a large number of fans and influence on the social platform. The specific conditions of KOL can be set according to the actual needs of users. For example, users with more than 1,000 fans can be identified as KOLs, and the KOLs who publish content related to the target brand can be counted to obtain a KOL list. Based on the KOL list, the distribution of KOL’s age, region, gender, education, interests and other information can be further counted to obtain the KOL distribution.

[0065] 6. Count the basic user information such as age, region, gender, education level, interests, etc. of users who publish content related to the target brand, and obtain a list of participating users' attribute information. Then, based on the list of participating users' attribute information, count the distribution of the basic user information such as age, region, gender, education level, interests, etc. of participating users, and obtain the distribution of participating users' attribute information.

[0066] 7. Count the communication indicators of the target brand. There can be multiple communication indicators here, which are used to determine the ranking of the target brand in the industry, such as the KLA indicator.

[0067] The method for processing communication data on a social platform provided in an embodiment of the present application uses the official name and / or popular name of the target brand to collect communication data from the social platform, which can improve the comprehensiveness and extensiveness of the collected communication data; the communication data is screened from the brand level based on the auxiliary keywords and exclusion keywords of the target brand, and then the communication data is screened from the industry level based on the industry characteristic words of the industry in which the target brand is located. The communication data is screened from both the brand and industry levels, which can reduce the generation of interference data and improve the accuracy of the communication data processing results; the communication data of the target brand is processed in two dimensions, namely, content and user, to obtain the communication characteristic information of the target brand on the social platform, thereby realizing efficient and multi-dimensional processing of the communication data and improving the processing efficiency of the communication data.

[0068] For further information, see Figure 2 As shown, Figure 2 A flowchart of another method for processing data disseminated on a social platform provided in an embodiment of the present application, wherein the processing method further includes:

[0069] S201. Obtain communication indicators of other brands in the industry where the target brand is located.

[0070] S202: Based on the communication index of the target brand and the communication indexes of the other brands, determine the index ranking of the communication index of the target brand in the industry.

[0071] S203. Based on the ranking of the target brand's communication indicators in the industry, a preset calculation function is used to calculate the social influence index of the target brand in the industry.

[0072] Comprehensive steps S201-S203, processing the target brand's communication data from the industry dimension, can determine the target brand's influence from the industry dimension, so as to more comprehensively understand the target brand's communication effect and marketing effect. Specifically, obtain the communication indicators of other brands in the industry where the target brand is located, and use the processing method of steps S101 to S104 to determine the communication indicators of other brands. In practice, a brand usually has multiple communication indicators. When ranking the communication indicators, different communication indicators are ranked separately. For each communication indicator, determine the indicator ranking of the target brand's communication indicator in the entire industry. If there are N indicators, there are N corresponding indicator rankings, so that the target brand's N indicator rankings in the industry are obtained. The calculation function for calculating the social influence index is a conventional calculation function in this field. Using this preset calculation function, the N indicator rankings of the target brand are brought in to calculate the social influence index of the target brand in the industry. The larger the social influence index, the higher the ranking of the target brand's influence in the industry.

[0073] Furthermore, in a method for processing dissemination data on a social platform provided in an embodiment of the present application, the processing method further includes:

[0074] Based on the communication characteristic information of the target brand on the social platform and the indicator ranking of the target brand's communication indicators in the industry, determine the brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand; wherein the brand overview includes at least the indicator ranking, the voice number, and the daily voice trend; the content insights include at least the popular content and the content word cloud; the trend insights include at least the daily feature word volume trend; the media insights include at least the KOL list and the KOL distribution; the crowd portrait includes at least the participating user attribute information list and the participating user attribute information distribution.

[0075] Since there is too much communication characteristic information of the target brand on the social platform, in order to enable the brand to intuitively and quickly understand the processing results of the target brand's communication data, the communication characteristic information is classified and packaged. Specifically, taking the brand as the unit, the brand's communication characteristic information is divided into five categories, namely brand overview, content insight, trend insight, media insight, and crowd portrait. In this way, five aspects of communication data processing results are obtained.

[0076] Furthermore, in a method for processing dissemination data on a social platform provided in an embodiment of the present application, the processing method further includes:

[0077] After receiving a viewing request carrying a target brand logo sent by a target user, a brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand are sent to the target user.

[0078] The embodiment of the present application provides a search function for the target user (brand owner). After receiving the viewing request sent by the target user, the brand overview, content insight, trend insight, media insight, and crowd portrait corresponding to the target brand are searched based on the target brand identifier carried in the viewing request, and the search results are sent to the target user. The processing results of the communication data are provided to the target user in five modules, that is, convenient data query and display are provided to the brand owner in a friendly way such as a search engine. Among them, different target brands correspond to different target brand identifiers, and each target brand corresponds to a unique target brand identifier. The target brand identifier can be information such as characters, numbers, and symbols.

[0079] Furthermore, in a method for processing dissemination data on a social platform provided in an embodiment of the present application, the processing method further includes:

[0080] Based on the propagation characteristic information of the target brand on the social platform and the marketing characteristic information of each marketing plan, the matching degree between the target brand and each marketing plan is calculated, and the marketing plan with the highest matching degree is used as the target marketing plan.

[0081] The communication characteristic information characterizes the current communication and marketing situation of the target brand on the social platform. Based on the communication characteristic information, it is possible to determine what kind of marketing plan the brand can adopt in the next stage. Multiple marketing plans and marketing characteristic information of each marketing plan are preset. The marketing characteristic information at least includes information such as the marketing plan and the target population. The matching degree between the marketing characteristic information of each marketing plan and the communication characteristic information of the target brand is calculated. If there are M marketing plans, M matching degrees are calculated, and the marketing plan with the highest matching degree is determined as the best marketing plan, namely the target marketing plan. In the next stage, the target marketing plan is used to market the target brand. This can improve the matching degree between the marketing plan and the current marketing effect of the social platform, improve resource utilization, and improve the efficiency of determining the marketing plan for the next stage.

[0082] Based on the same inventive concept, the embodiments of the present application also provide a device for processing data disseminated on a social platform corresponding to the method for processing data disseminated on the social platform. Since the principle of solving the problem by the device in the embodiments of the present application is similar to the method for processing data disseminated on the social platform in the embodiments of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0083] See also Figure 3 As shown, Figure 3 A schematic diagram of a structure of a device for processing data disseminated on a social platform provided in an embodiment of the present application, the device comprising:

[0084] A first acquisition module 301 is used to acquire the communication data of the target brand from a social platform based on the official name and / or popular name of the target brand;

[0085] The first judgment module 302 is used to judge whether the communication data of the target brand is brand-related data based on the auxiliary keywords and exclusion keywords of the target brand if the target brand is an easily confused brand; wherein the auxiliary keywords are keywords that are necessary in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded in the communication data of the target brand;

[0086] The second judgment module 303 is used to judge whether the target brand's dissemination data is industry-related data based on the industry characteristic words of the industry in which the target brand belongs if the target brand's dissemination data is brand-related data;

[0087] The first determination module 304 is used to, if the communication data of the target brand is industry-related data, perform statistics on the communication data of the target brand based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information at least includes: volume number, daily volume trend, daily feature word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators.

[0088] In a possible implementation manner, the processing device further includes:

[0089] The second acquisition module is used to acquire the communication indicators of other brands in the industry where the target brand is located;

[0090] A second determination module is used to determine the index ranking of the communication index of the target brand in the industry based on the communication index of the target brand and the communication indexes of the other brands;

[0091] The first calculation module is used to calculate the social influence index of the target brand in the industry based on the indicator ranking of the communication indicator of the target brand in the industry and using a preset calculation function.

[0092] In a possible implementation manner, the processing device further includes:

[0093] The third determination module is used to determine the brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand based on the communication characteristic information of the target brand on the social platform and the indicator ranking of the communication indicators of the target brand in the industry; wherein the brand overview at least includes the indicator ranking, the voice number, and the daily voice trend; the content insights at least include the popular content and the content word cloud; the trend insights at least include the daily feature word volume trend; the media insights at least include the KOL list and the KOL distribution; the crowd portrait at least includes the participating user attribute information list and the participating user attribute information distribution.

[0094] In a possible implementation manner, the processing device further includes:

[0095] The sending module is used to send the brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand to the target user after receiving a viewing request carrying the target brand logo sent by the target user.

[0096] In a possible implementation manner, the first determination module 302, when determining whether the propagation data of the target brand is brand-related data based on the auxiliary keywords and the exclusion keywords of the target brand, includes:

[0097] If the propagation data of the target brand includes the auxiliary keyword and does not include the exclusion keyword, it is determined that the propagation data of the target brand is brand-related data.

[0098] In a possible implementation manner, the second determination module 303, when determining whether the propagation data of the target brand is industry-related data based on the industry characteristic words of the industry in which the target brand is located, includes:

[0099] The correlation between the industry characteristic words of the industry in which the target brand is located and the communication data of the target brand is calculated. If the correlation is greater than a preset threshold, it is determined that the communication data of the target brand is industry-related data.

[0100] In a possible implementation manner, the processing device further includes:

[0101] The second calculation module is used to calculate the matching degree between the target brand and each marketing plan based on the propagation characteristic information of the target brand on the social platform and the marketing characteristic information of each marketing plan, and take the marketing plan with the highest matching degree as the target marketing plan.

[0102] The processing device for communication data on a social platform provided in an embodiment of the present application uses the official name and / or popular name of the target brand to collect communication data from the social platform, which can improve the comprehensiveness and extensiveness of the collected communication data; the communication data is screened from the brand level based on the auxiliary keywords and exclusion keywords of the target brand, and then the communication data is screened from the industry level based on the industry characteristic words of the industry in which the target brand is located. The communication data is screened from both the brand and industry levels, which can reduce the generation of interference data and improve the accuracy of the communication data processing results; the communication data of the target brand is processed in two dimensions, namely, content and user, to obtain the communication characteristic information of the target brand on the social platform, thereby realizing efficient and multi-dimensional processing of the communication data and improving the processing efficiency of the communication data.

[0103] See also Figure 4 As shown, Figure 4 A schematic diagram of an electronic device provided in an embodiment of the present application, the electronic device 400 includes: a processor 401, a memory 402 and a bus 403, the memory 402 stores machine-readable instructions executable by the processor 401, when the electronic device is running, the processor 401 communicates with the memory 402 through the bus 403, and the processor 401 executes the machine-readable instructions to perform the steps of the processing method for disseminating data on the social platform as described above.

[0104] Specifically, the above-mentioned memory 402 and processor 401 can be general-purpose memories and processors, which are not specifically limited here. When the processor 401 runs the computer program stored in the memory 402, it can execute the processing method for disseminating data on the above-mentioned social platform.

[0105] Corresponding to the method for processing data disseminated on the above-mentioned social platform, an embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for processing data disseminated on the above-mentioned social platform are executed.

[0106] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0107] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0108] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0109] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that can be executed by a processor. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0110] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present application, which are used to illustrate the technical solutions of the present application, rather than to limit them. The protection scope of the present application is not limited thereto. Although the present application is described in detail with reference to the above-mentioned embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-mentioned embodiments within the technical scope disclosed in the present application, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application. Therefore, the protection scope of the present application shall be based on the protection scope of the claims.

Claims

1. A method for processing dissemination data on a social platform, characterized in that: The processing method comprises: Using the official name and / or popular name of the target brand as a search term, obtaining communication data of the target brand from social platforms; If the target brand is an easily confused brand, then based on the auxiliary keywords and exclusion keywords of the target brand, determine whether the communication data of the target brand is brand-related data; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded from the communication data of the target brand; If the target brand's communication data is brand-related data, judging whether the target brand's communication data is industry-related data based on the industry characteristic words of the industry to which the target brand belongs; If the communication data of the target brand is industry-related data, the communication data of the target brand is counted based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information at least includes: volume, daily volume trend, daily characteristic word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators; The step of judging whether the communication data of the target brand is brand-related data based on the auxiliary keywords and the exclusion keywords of the target brand includes: If the target brand's communication data includes the auxiliary keyword and does not include the exclusion keyword, then the target brand's communication data is determined to be brand-related data; The determining whether the target brand's communication data is industry-related data based on the industry characteristic words of the industry in which the target brand is located includes: The correlation between the industry characteristic words of the industry in which the target brand is located and the communication data of the target brand is calculated. If the correlation is greater than a preset threshold, it is determined that the communication data of the target brand is industry-related data.

2. The processing method according to claim 1, characterized in that: The processing method also includes: Obtain the communication indicators of other brands in the industry of the target brand; Based on the communication index of the target brand and the communication indexes of the other brands, determine the index ranking of the communication index of the target brand in the industry; Based on the ranking of the target brand's communication indicators in the industry, a preset calculation function is used to calculate the social influence index of the target brand in the industry.

3. The processing method according to claim 2, characterized in that: The processing method also includes: Based on the communication characteristic information of the target brand on the social platform and the indicator ranking of the target brand's communication indicators in the industry, determine the brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand; wherein the brand overview includes at least the indicator ranking, the voice number, and the daily voice trend; the content insights include at least the popular content and the content word cloud; the trend insights include at least the daily feature word volume trend; the media insights include at least the KOL list and the KOL distribution; the crowd portrait includes at least the participating user attribute information list and the participating user attribute information distribution.

4. The processing method according to claim 3, characterized in that: The processing method also includes: After receiving a viewing request carrying a target brand logo sent by a target user, a brand overview, content insights, trend insights, media insights, and crowd portrait of the target brand are sent to the target user.

5. The processing method according to claim 1, characterized in that: The processing method also includes: Based on the propagation characteristic information of the target brand on the social platform and the marketing characteristic information of each marketing plan, the matching degree between the target brand and each marketing plan is calculated, and the marketing plan with the highest matching degree is used as the target marketing plan.

6. A device for processing dissemination data on a social platform, characterized in that: The processing device comprises: A first acquisition module is used to use the official name and / or popular name of the target brand as a search term to acquire the communication data of the target brand from the social platform; A first judgment module is used to judge whether the communication data of the target brand is brand-related data based on the auxiliary keywords and exclusion keywords of the target brand if the target brand is an easily confused brand; wherein the auxiliary keywords are essential keywords in the communication data of the target brand, and the exclusion keywords are keywords that must be excluded from the communication data of the target brand; A second judgment module is used to judge whether the target brand's dissemination data is industry-related data based on the industry characteristic words of the industry to which the target brand belongs if the target brand's dissemination data is brand-related data; The first determination module is used to, if the communication data of the target brand is industry-related data, perform statistics on the communication data of the target brand based on preset statistical rules to determine the communication characteristic information of the target brand on the social platform; wherein the communication characteristic information at least includes: voice volume, daily voice volume trend, daily characteristic word volume trend, popular content and content word cloud, KOL list, KOL distribution, participating user attribute information list, participating user attribute information distribution, and communication indicators; The first judgment module, when judging whether the propagation data of the target brand is brand-related data based on the auxiliary keywords and the exclusion keywords of the target brand, includes: If the target brand's communication data includes the auxiliary keyword and does not include the exclusion keyword, then the target brand's communication data is determined to be brand-related data; The second judgment module, when judging whether the communication data of the target brand is industry-related data based on the industry characteristic words of the industry in which the target brand is located, includes: The correlation between the industry characteristic words of the industry in which the target brand is located and the communication data of the target brand is calculated. If the correlation is greater than a preset threshold, it is determined that the communication data of the target brand is industry-related data.

7. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor and the memory communicate through the bus, and the processor executes the machine-readable instructions to perform the steps of the method for processing data dissemination on a social platform as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the steps of the method for processing data propagation on a social platform as described in any one of claims 1 to 5.

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