Artificial intelligence-based chinese cultural promotion effect evaluation system

Abstract

The present invention relates to the technical field of promotion effect evaluation, and in particular to an artificial intelligence-based Chinese cultural promotion effect evaluation system, comprising: a promotion delivery module, used for delivering Chinese cultural promotion information to a target individual by means of a plurality of promotion modes; a data collection module, used for collecting behavior data and emotion data of the target individual after receiving the Chinese cultural promotion information; a data analysis module, used for analyzing the behavior data and the emotion data on the basis of a machine learning algorithm to obtain an interest report of the target individual; and an effect evaluation module, used for evaluating the Chinese cultural promotion information and the promotion modes thereof on the basis of the interest report to obtain an evaluation result. The present invention can realize accurate Chinese cultural promotion effect evaluation.

Description

An artificial intelligence-based Chinese culture promotion effect evaluation system TECHNICAL FIELD

[0001] The present application relates to the technical field of promotion effect evaluation, in particular to an artificial intelligence-based Chinese culture promotion effect evaluation system. BACKGROUND

[0002] Chinese culture promotion refers to the dissemination and promotion of Chinese unique culture, values, traditional arts, etc. to the world through various ways and channels. This promotion is not limited to the output of cultural products, but also includes cultural exchange, education and research, tourism promotion and other activities. Common Chinese culture promotion methods include: cultural product output, cultural activities and festivals, cultural exchange and cooperation, digital and new media promotion, education and academic exchange, tourism promotion, etc. Overall, Chinese culture promotion is to deliver the cultural charm and values of China to the world through various channels and forms, promote cultural exchange and understanding, and enhance friendly relations and interaction between countries.

[0003] However, Chinese culture promotion currently faces many difficulties, such as cultural awareness and understanding gap, language barrier, cultural politics and censorship environment, balance between tradition and modernity, cultural identity and globalization, media and communication channel selection, cultural product innovation and copyright protection, etc. In the process of Chinese culture promotion, various policies and promotion methods need to be considered for effective promotion, and the promotion effect needs to be investigated and counted to find the most effective promotion method. The commonly used investigation and evaluation methods are: audience feedback and survey, social media and network analysis, media exposure and reporting, participation and interaction, cultural influence and popularity, long-term effect and sustainability, cultural exchange and understanding. However, it is difficult to conduct complete and effective statistics on global promotion effect research and evaluation only by relying on the above methods, so there is an urgent need for an artificial intelligence-based Chinese culture promotion effect evaluation system.

[0004] SUMMARY

[0005] The purpose of the present application is to provide an artificial intelligence-based Chinese culture promotion effect evaluation system that can accurately evaluate the effect of Chinese culture promotion.

[0006] To achieve the above-mentioned purpose, the present application provides the following solutions:

[0007] An artificial intelligence-based Chinese culture promotion effect evaluation system, comprising: a promotion delivery module, a data collection module, a data analysis module, and an effect evaluation module.

[0008] The promotion delivery module is configured to deliver Chinese culture promotion information to target objects through a plurality of promotion methods.

[0009] The data collection module is configured to collect behavior data and emotional data of the target object after receiving the Chinese culture promotion information.

[0010] The data analysis module is configured to analyze the behavior data and the emotional data based on a machine learning algorithm to obtain an interest report of the target object.

[0011] The effect evaluation module is configured to evaluate the Chinese culture promotion information and a promotion method based on the interest report to obtain an evaluation result.

[0012] Optionally, the promotion delivery module comprises a promotion information determination unit, a promotion method determination unit and a promotion object determination unit.

[0013] The promotion information determination unit is configured to determine a promotion keyword and edit promotion information based on the keyword.

[0014] The promotion method determination unit is configured to select a promotion method and optimize the promotion information according to the promotion method.

[0015] The promotion object determination unit is configured to determine the target object and deliver the optimized promotion information to the target object through the selected promotion method.

[0016] Optionally, the data collection module comprises a behavior data collection unit and an emotional data collection unit.

[0017] The behavior data collection unit is configured to collect behavior data of the target object after receiving the promotion information and performing operations on the Internet.

[0018] The emotional data collection unit is configured to collect emotional data of the target object after receiving the promotion information and performing operations on the Internet.

[0019] Optionally, the data analysis module comprises a behavior data analysis unit, an emotional data analysis unit and an interest preference analysis unit.

[0020] The behavior data analysis unit is configured to process and analyze the behavior data to obtain a behavior analysis result.

[0021] The emotional data analysis unit is configured to process and analyze the emotional data to obtain an emotional analysis result.

[0022] The interest preference analysis unit is configured to combine the behavior analysis result and the emotional analysis result to obtain an interest report of the target object.

[0023] Optionally, processing and analyzing the behavior data to obtain a behavior analysis result comprises:

[0024] After the behavior data is cleaned and aggregated, a behavior label is analyzed and obtained;

[0025] The number of various behaviors under different behavior labels is counted;

[0026] The analytic hierarchy process is used to quantify the weight of various behaviors under different behavior labels;

[0027] According to the weight of various behaviors under different behavior labels and the number of various behaviors, the preference value of various behavior labels is calculated;

[0028] The behavior labels are sorted based on the preference value, and a preference label table, i.e., the behavior analysis result, is obtained.

[0029] Optionally, the emotional data is processed and analyzed to obtain an emotional analysis result, including:

[0030] The social network text of the target object is obtained and preprocessed;

[0031] The feature representation of the context information of a sentence and an attribute clause is set, the dependency relationship and the syntax information of the social network text are obtained based on the feature representation, and a semantic tree of the sentence is generated;

[0032] According to the semantic tree, the emotional features of the social network text are obtained;

[0033] The emotional features are input into a Softmax classifier, and a final emotional label, i.e., the emotional analysis result, is output.

[0034] Optionally, the effect evaluation module includes a promotion effect evaluation unit and a promotion delivery optimization unit.

[0035] The promotion effect evaluation unit is configured to evaluate the promotion effect based on the interest report and obtain an evaluation result.

[0036] The promotion delivery optimization unit is configured to optimize the promotion information and the promotion method based on the interest report and the evaluation result, and develop a new promotion scheme.

[0037] Optionally, the system further includes a privacy protection module configured to ensure the legal acquisition of data and the protection of user privacy according to relevant ethical norms and privacy policies.

[0038] The present application has the following advantages:

[0039] The application can predict the promotion effect of a large number of users under the condition of fully protecting the data privacy and security by collecting the operation behaviors and emotional tendencies of Internet users after the Chinese culture promotion information is put, predicting the interest of the users in the Chinese culture information, and evaluating the promotion effect based on the operation behaviors and emotional tendencies of the users. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description only represent some of the embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0041] Fig. 1 is a structural schematic diagram of a Chinese culture promotion effect evaluation system based on artificial intelligence according to an embodiment of the present application. DETAILED DESCRIPTION

[0042] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments only represent some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort fall within the scope of the present application.

[0043] In order to make the above-mentioned purposes, features and advantages of the present application more apparent and easy to understand, the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0044] The present embodiment provides a Chinese culture promotion effect evaluation system based on artificial intelligence, as shown in Fig. 1, which comprises a promotion putting module, a data collection module, a data analysis module and an effect evaluation module.

[0045] The promotion putting module is used to put Chinese culture promotion information to target objects through several promotion methods.

[0046] The data collection module is used to collect the behavior data and emotional data of the target objects after receiving the Chinese culture promotion information.

[0047] The data analysis module is used to analyze the behavior data and emotional data based on a machine learning algorithm to obtain an interest report of the target objects.

[0048] The effect evaluation module is used to evaluate the Chinese culture promotion information and its promotion method based on the interest report to obtain an evaluation result.

[0049] Further, the promotion module comprises: a promotion information determination unit, a promotion mode determination unit, and a promotion object determination unit.

[0050] The promotion information determination unit is configured to determine a promotion keyword and edit promotion information based on the keyword.

[0051] The promotion mode determination unit is configured to select a promotion mode and optimize the promotion information according to the promotion mode.

[0052] The promotion object determination unit is configured to determine a target object of promotion and deliver the optimized promotion information to the target object through the selected promotion mode.

[0053] Specifically, first, a keyword related to Chinese culture is determined, the keyword is input into an AI intelligent question and answer software, and preliminary editing is performed to form promotion information; at least one promotion mode is determined, including: cultural product output, cultural activities and festivals, cultural exchange and cooperation, digitalization and new media promotion, education and academic exchange, and tourism promotion, the promotion information is optimized in combination with the characteristics of the selected promotion mode, and Chinese culture promotion information for a specific promotion mode is formed; a promotion object range is delimited, a target object is determined within the range, and specific promotion information is delivered to the target object through the selected promotion mode.

[0054] Further, the data collection module comprises: a behavior data collection unit and an emotional data collection unit.

[0055] The behavior data collection unit is configured to collect behavior data of the target object on the Internet after receiving the promotion information.

[0056] The emotional data collection unit is configured to collect emotional data of the target object when operating on the Internet after receiving the promotion information.

[0057] Specifically, after the Chinese culture promotion information is delivered, the operation behavior of the target object on the Internet is collected, such as data of comments, shares, likes, etc. on platforms such as microblogs, TikTok, Twitter, etc., search volume and trends of keywords related to the Chinese culture promotion information on search engines, website access data related to the Chinese culture promotion information, online course participation data, etc.

[0058] And the emotional tendency of the target object to the Chinese culture promotion information in social media, news comments, etc., including positive, negative, and neutral.

[0059] Further, the data analysis module comprises: a behavior data analysis unit, an emotional data analysis unit, and an interest preference analysis unit.

[0060] The behavior data analysis unit is configured to process and analyze the behavior data to obtain a behavior analysis result.

[0061] an emotional data analysis unit configured to process and analyze the emotional data to obtain an emotional analysis result;

[0062] an interest preference analysis unit configured to combine the behavior analysis result and the emotional analysis result to obtain an interest report of the target object.

[0063] Specifically, the processing and analysis of the behavior data to obtain the behavior analysis result include:

[0064] After the behavior data is cleaned and summarized, a behavior label is analyzed; the number of various behaviors under different behavior labels is counted; the weights of various behaviors under different behavior labels are quantified by using the analytic hierarchy process in combination with the behavior labels; the preference values of various behavior labels are calculated according to the weights of various behaviors under different behavior labels and the number of various behaviors; the behavior labels are sorted according to the preference values to obtain a preference label table, i.e., the behavior analysis result.

[0065] The processing and analysis of the emotional data to obtain the emotional analysis result include:

[0066] The social network text of the target object is obtained and preprocessed; the context information of a sentence and an attribute clause is learned to obtain a corresponding feature representation; a semantic tree of the sentence is generated according to the dependency relationship and the syntax information of the social network text; the sentiment feature representation of the social network text is generated by using a graph convolution network according to the dependency tree in which the feature vectors are embedded; the conditional probability distribution of each emotion label is constructed by using a Softmax classifier, and the final sentiment label of the social network text is output, i.e., the emotional analysis result.

[0067] The preference label and the sentiment label are combined for analysis to obtain the interest report of the target object.

[0068] The preprocessing includes: remodeling the change dimension of the emotion clause into a feature vector with a uniform size; segmenting the text into words; and mapping each word or phrase into a vector in a real number field.

[0069] Further, the effect evaluation module includes: a promotion effect evaluation unit and a promotion delivery optimization unit.

[0070] The promotion effect evaluation unit is configured to evaluate the promotion effect based on the interest report to obtain an evaluation result.

[0071] The promotion delivery optimization unit is configured to optimize the promotion information and the promotion method based on the interest report and the evaluation result to formulate a new promotion scheme.

[0072] Specifically, the keyword search volume, the discussion volume, and the emotional tendency of the target object in the interest report are analyzed to generate a promotion effect evaluation report, and the promotion information and the promotion method are optimized in reverse based on the interest report and the promotion effect evaluation report, the content selection and the transmission channel of the promotion activities are continuously optimized, and the promotion effect is continuously improved.

[0073] To further optimize the technical solution, the Chinese culture promotion effect evaluation system based on artificial intelligence provided in the embodiment further includes a data visualization module, which is configured to use a data dashboard and a visualization tool to display the change trend of the keyword search volume and the discussion volume after the Chinese culture promotion information is put into place, and the change trend of the promotion effect as the promotion scheme is optimized.

[0074] To further optimize the technical solution, the Chinese culture promotion effect evaluation system based on artificial intelligence provided in the embodiment further includes a privacy protection module, which is configured to ensure the legal acquisition of data and the protection of user privacy according to relevant ethical norms and privacy policies, and avoid the leakage of user information.

[0075] The above-described embodiments are only descriptions of the preferred modes of the present application and do not limit the scope of the present application. Without departing from the design spirit of the present application, various modifications and improvements to the technical solutions of the present application made by those skilled in the art shall fall within the protection scope determined by the claims of the present application.

Claims

1. An artificial intelligence-based Chinese culture promotion effect evaluation system, characterized in that, The application relates to a Chinese culture promotion system. The system comprises a promotion delivery module, a data collection module, a data analysis module and an effect evaluation module. The promotion delivery module is used for delivering Chinese culture promotion information to target objects through several promotion modes. The data collection module is used for collecting behavior data and emotional data of the target objects after receiving the Chinese culture promotion information. The data analysis module is used for analyzing the behavior data and emotional data based on a machine learning algorithm to obtain an interest report of the target objects. The effect evaluation module is used for evaluating the Chinese culture promotion information and the promotion modes based on the interest report to obtain an evaluation result. 2.The artificial intelligence-based Chinese culture promotion effect evaluation system according to claim 1, characterized in that, The promotion delivery module comprises a promotion information determination unit, a promotion mode determination unit and a promotion object determination unit. The promotion information determination unit is used for determining promotion keywords and editing promotion information based on the keywords. The promotion mode determination unit is used for selecting a promotion mode and optimizing the promotion information according to the promotion mode. The promotion object determination unit is used for determining the target objects and delivering the optimized promotion information to the target objects through the selected promotion mode. 3.The AI-based Chinese culture promotion effect evaluation system according to claim 1, characterized in that, The data collection module comprises a behavior data collection unit and an emotional data collection unit. The behavior data collection unit is used for collecting behavior data of the target objects on the Internet after receiving the promotion information. The emotional data collection unit is used for collecting emotional data of the target objects on the Internet when operating. The data analysis module comprises a behavior data analysis unit, an emotional data analysis unit and an interest preference analysis unit. 4.The AI-based Chinese culture promotion effect evaluation system according to claim 1, characterized in that, The behavior data analysis unit is used for processing and analyzing the behavior data to obtain a behavior analysis result. The emotional data analysis unit is used for processing and analyzing the emotional data to obtain an emotional analysis result. The interest preference analysis unit is used for combining the behavior analysis result and the emotional analysis result to obtain an interest report of the target objects. Processing and analyzing the behavior data to obtain a behavior analysis result comprises the following steps. 5.The artificial intelligence-based Chinese culture promotion effect evaluation system according to claim 4, characterized in that, After cleaning and collecting the behavior data, behavior labels are obtained. The number of various behaviors under different behavior labels is counted. The weights of various behaviors under different behavior labels are quantified by using an analytic hierarchy process. The preference values of various behavior labels are calculated according to the weights of various behaviors under different behavior labels and the number of various behaviors. The behavior labels are sorted based on the preference values to obtain a preference label table, that is, the behavior analysis result. Processing and analyzing the emotional data to obtain an emotional analysis result comprises the following steps. 6.The AI-based Chinese culture promotion effect evaluation system according to claim 4, characterized in that, The social network text of the target objects is obtained and preprocessed. The feature representation of the context information of a sentence and an attribute sentence is set, the dependency relationship and the syntax information of the social network text are obtained based on the feature representation, and a semantic tree of the sentence is generated. The emotional features of the social network text are obtained according to the semantic tree. The emotional features are input into a Softmax classifier to output a final emotional label, that is, the emotional analysis result. ​ 7.The AI-based Chinese culture promotion effect evaluation system according to claim 1, wherein, The effect evaluation module comprises a promotion effect evaluation unit and a promotion delivery optimization unit. The promotion effect evaluation unit is configured to perform promotion effect evaluation based on the interest report and obtain an evaluation result. The promotion delivery optimization unit is configured to optimize promotion information and a promotion mode based on the interest report and the evaluation result, and formulate a new promotion scheme. 8.The artificial intelligence-based Chinese culture promotion effect evaluation system according to any one of claims 1-7, characterized in that, The system further comprises a privacy protection module configured to ensure legal acquisition of data and protection of user privacy according to relevant ethical norms and privacy policies.

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