Data analysis system for live broadcast effects of real anchor and intelligent anchor

Abstract

The invention discloses a data analysis system for live broadcast effects of real anchors and intelligent anchors, which comprises a data acquisition module, a data storage module, a data analysis module and a result display module, and is characterized in that the data acquisition module is used for acquiring data, the data storage module is used for storing the acquired data, and the result display module is used for displaying the result. The data analysis module is used for analyzing the collected data, the result display module is used for displaying the data analysis module in multiple directions, and the data collection module comprises a data source, collection content and collection frequency. Through the analysis system, data acquisition and analysis can be performed on live broadcast effects of a real anchor and an intelligent anchor, and the live broadcast effects are visually compared by using the result display module, so that powerful data support and decision basis are provided for participants in the live broadcast industry.

Description

Technical Field

[0001] The present invention relates to the technical field of live broadcast data analysis, and in particular to a data analysis system for live broadcast effects of real anchors and intelligent anchors. Background Art

[0002] In today's digital age, the live broadcast industry is booming. Live broadcasters have attracted a large number of viewers with their personal charm and emotional interaction, while smart broadcasters have also gained a place in the live broadcast field with their high stability, customizability and uninterrupted operation.

[0003] However, there is currently a lack of a system on the market that can comprehensively and accurately compare and analyze the live broadcast effects of real anchors and intelligent anchors. This makes it difficult for live broadcast platforms to evaluate the value of different live broadcast methods, businesses cannot determine the most suitable live broadcast strategy, and anchors find it difficult to understand their own strengths and weaknesses and make targeted improvements. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings existing in the prior art, and to propose a data analysis system for the live broadcast effects of real anchors and intelligent anchors. Through this analysis system, data collection and analysis can be performed on the live broadcast effects of real anchors and intelligent anchors, and a result display module can be used to make an intuitive comparison of the live broadcast effects, thereby providing strong data support and decision-making basis for participants in the live broadcast industry.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A data analysis system for the live broadcast effects of real anchors and intelligent anchors includes a data acquisition module, a data storage module, a data analysis module and a result display module. The data acquisition module is used to collect data, the data storage module is used to store the collected data, the data analysis module is used to analyze the collected data, and the result display module is used to display the data analysis module in all directions. The data acquisition module includes data sources, collection content and collection frequency. The data source establishes a stable data interface with major live broadcast platforms to collect various data in real time during the live broadcast of real anchors and intelligent anchors. The collection content includes the number of viewers, viewing time, audience geographical distribution, number of interactions, bullet screen content, commodity sales data, live broadcast time, live broadcast theme, etc. For real anchors, feature data such as the anchor's expression, tone, and action can also be collected; for intelligent anchor live broadcasts, their voice synthesis effects and animation performance data can be collected. The collection frequency needs to be set according to the characteristics and needs of the live broadcast. Different data collection frequencies.

[0006] Preferably, the data storage module includes database selection, data storage structure and data backup and recovery. The database selection adopts high-performance and high-reliability database technology. The data storage structure can classify and store different types of data. The data backup and recovery can back up data regularly and can quickly restore data in the event of data damage or loss.

[0007] Preferably, the data analysis module includes comparative analysis, trend analysis, audience behavior analysis, anchor behavior analysis and multi-dimensional analysis. The comparative analysis is used to make a detailed comparison of various indicators between real anchors and smart anchors. The trend analysis adopts time series analysis to predict the number of viewers and sales data indicators of real anchors and smart anchors in the future, so as to provide a reference for live broadcast platforms and merchants to formulate strategies in advance. The audience behavior analysis conducts text analysis and sentiment analysis on the audience's interactive behavior to understand the audience's needs and interests, analyze the differences in audience behavior under different live broadcast modes, and provide specific suggestions for the optimization of live broadcast content. The anchor behavior analysis can evaluate the relationship between the anchor's language expression ability, communication skills, professional knowledge level factors and the number of viewers, number of interactions, and sales data. For smart anchor live broadcasts, it can analyze the impact of its speech synthesis effect and animation performance factors on the audience experience. The multi-dimensional analysis is analyzed by combining the live broadcast theme, live broadcast time, and audience regional factors.

[0008] Preferably, the result display module includes chart display, data report display, real-time monitoring and personalized reports. The chart display can display the comparison results of the live broadcast effects of real anchors and smart anchors in the form of intuitive charts. The chart display includes bar charts, line charts and pie charts. The data report can display the basic information of the live broadcast, various indicator data and analysis conclusions. The real-time monitoring allows users to view the various data indicators of the current live broadcast at any time, and understand the live broadcast effect in a timely manner so as to make adjustments and decisions. The personalized report can generate a personalized report based on the user's role and needs.

[0009] Preferably, the bar graph displays the number of viewers and makes a comparison, the line graph displays the trend of changes in viewing time, and the pie chart displays the ratio of interaction times.

[0010] The present invention has the following beneficial effects: 1. Compared with the existing technology, this system can collect and analyze various data during the live broadcast of real anchors and intelligent anchors, evaluate the live broadcast effect from multiple angles, and provide users with comprehensive data analysis results; 2. Compared with existing technologies, it uses advanced data collection and analysis technologies to ensure the accuracy and reliability of data. By connecting with multiple data sources and using machine learning algorithms for analysis, the accuracy of the analysis results is improved; 3. Compared with existing technologies, it provides practical decision-making basis for live broadcast platforms, merchants and anchors. Through comparative analysis and trend prediction, it helps users understand the advantages and disadvantages of different live broadcast methods and formulate more effective live broadcast strategies; 4. Compared with existing technologies, the analysis results are displayed in the form of intuitive charts and reports, allowing users to quickly understand the live broadcast effect and improve work efficiency. At the same time, it provides real-time monitoring and personalized reporting functions to meet the different needs of users; 5. Compared with existing technologies, it provides forward-looking suggestions for the development of the live broadcast industry through trend analysis and prediction through machine learning algorithms, helping users to grasp market trends in advance and seize opportunities. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 This is a structural block diagram of a data analysis system for live broadcast effects of real anchors and intelligent anchors proposed by the present invention; Figure 2 It is the structural block diagram of the data acquisition module; Figure 3 It is a structural block diagram of the data storage module; Figure 4 It is the structural diagram of the data analysis module; Figure 5 The structural block diagram of the module is presented as a result. DETAILED DESCRIPTION

[0012] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0013] Reference Figure 1-5A data analysis system for the live broadcast effects of real anchors and intelligent anchors includes a data acquisition module, a data storage module, a data analysis module and a result display module. The data acquisition module is used to collect data, the data storage module is used to store the collected data, the data analysis module is used to analyze the collected data, and the result display module is used to display the data analysis module in all aspects. The data acquisition module includes data source, collection content and collection frequency. The data source establishes a stable data interface with major live broadcast platforms to collect various data of real anchors and intelligent anchors in real time during the live broadcast process. Relevant data can also be obtained from third-party data analysis platforms, social media and other channels to enrich the data source and improve the accuracy of the analysis. The collection content includes the number of viewers, viewing time, geographical distribution of viewers, number of interactions, barrage content, product sales data, live broadcast time, live broadcast theme, etc. For real-life anchors, feature data such as their expressions, tone, and movements can also be collected; for smart anchors’ live broadcasts, data on their voice synthesis effects and animation performance can be collected. The collection frequency needs to be set according to the characteristics and needs of the live broadcast. For data with higher real-time requirements such as the number of viewers and number of interactions, high-frequency collection can be used; product sales data can be summarized and collected after the live broadcast.

[0014] Among them, the data storage module includes database selection, data storage structure and data backup and recovery. The database selection adopts high-performance and high-reliability database technology, such as relational database or non-relational database, to ensure the safe storage and rapid retrieval of data. The data storage structure can classify and store different types of data. For example, basic live broadcast information, audience data, sales data, etc. can be stored in different tables respectively, and indexes can be established to improve query efficiency. Data backup and recovery can back up data regularly and quickly restore data in the event of data damage or loss.

[0015] Among them, the data analysis module includes comparative analysis, trend analysis, audience behavior analysis, anchor behavior analysis and multi-dimensional analysis. The comparative analysis is used to make a detailed comparison of the live broadcasts of real anchors and smart anchors in various indicators. By calculating indicators such as the difference rate of the number of viewers, the average difference in viewing time, and the proportion of the number of interactions, it can intuitively show the difference between the two live broadcast methods in attracting viewers. At the same time, it compares commodity sales data and analyzes the role of different live broadcast methods in promoting sales. Trend analysis uses time series analysis to predict the number of viewers and sales data indicators of live broadcasts of real anchors and smart anchors in the future. Trends provide a reference for live broadcast platforms and merchants to formulate strategies in advance. Audience behavior analysis By conducting text analysis and sentiment analysis on the audience's interactive behavior, we can understand the audience's needs and interests, analyze the differences in audience behavior under different live broadcast methods, and provide specific suggestions for the optimization of live broadcast content. The host behavior analysis can evaluate the relationship between the host's language expression ability, communication skills, professional knowledge level factors and the number of viewers, number of interactions, and sales data. For smart host live broadcasts, it can analyze the impact of its speech synthesis effect and animation performance factors on the audience experience. Multi-dimensional analysis is carried out by combining live broadcast theme, live broadcast time, and audience regional factors. For example, it can analyze the differences in the effects of live broadcasts between real hosts and smart hosts under different themes, and the audience's preferences for the two live broadcast methods in different time periods.

[0016] Among them, data analysis can also conduct reliability and validity analysis, main effect analysis, mediation effect analysis and moderation effect analysis. Reliability and validity analysis can conduct reliability and validity analysis on the online purchase intention scale, word-of-mouth recommendation intention scale and psychological distance scale to ensure the reliability and effectiveness of the scale; The main effects analysis can test the main effects of anchor type on online purchase intention and word-of-mouth recommendation intention; The mediation effect analysis mainly analyzes the mediating role of psychological distance between anchor type and online purchase intention and word-of-mouth recommendation intention, according to the mediation effect analysis process and test method proposed by Zhao and Hayes; The moderating effect analysis mainly explores the moderating role of psychological simulation type in the impact of anchor type on psychological distance, online purchase intention and word-of-mouth recommendation intention.

[0017] Among them, the result display module includes chart display, data report display, real-time monitoring and personalized reports. The chart display can display the comparison results of the live broadcast effects of real anchors and smart anchors in the form of intuitive charts. The chart display includes bar charts, line charts and pie charts. The bar chart displays the number of viewers and makes a comparison, the line chart displays the trend of viewing time, and the pie chart displays the proportion of interaction times. The data report can display the basic information of the live broadcast, various indicator data and analysis conclusions, and can customize different chart display methods according to user needs. Real-time monitoring allows users to view the various data indicators of the current live broadcast at any time, and understand the live broadcast effect in a timely manner, so as to make adjustments and decisions. Personalized reports can generate personalized reports according to the user's role and needs. Personalized reports can provide overall live broadcast effect analysis reports for live broadcast platforms, product sales analysis reports for merchants, and personal performance analysis reports for anchors.

[0018] The present invention can explain its functional principle through the following operation mode: the data acquisition module continuously obtains data from the live broadcast platform and other data sources, and stores it in the data storage module. The data analysis module regularly analyzes the stored data, and uses methods such as comparative analysis, trend analysis, and audience behavior analysis to calculate the difference value and trend forecast of various indicators. The result display module generates charts, reports and personalized reports based on the analysis results for users to view and use.

[0019] For example, for an e-commerce live broadcast, by comparing the number of viewers, viewing time, and number of interactions between live broadcasts by real anchors and smart anchors, we can find out which live broadcast method is more attractive to viewers; by analyzing product sales data, we can evaluate the promotion effect of different live broadcast methods on sales. At the same time, by performing sentiment analysis on the content of audience comments, we can understand the audience's satisfaction with the product and provide suggestions for improvement.

[0020] In addition, the system can also provide specific suggestions for optimizing live content based on audience behavioral characteristics, such as like preferences, sharing motivations, etc. For example, if the audience likes a lot of the introduction of a certain product, the introduction time of the product can be appropriately increased; if the audience's motivation for sharing the live broadcast is mainly due to discount activities, the discount can be increased to increase the audience's enthusiasm for sharing.

[0021] The above are only preferred specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solutions and inventive concepts of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A data analysis system for live broadcast effects of real anchors and intelligent anchors, including a data acquisition module, a data storage module, a data analysis module and a result display module, characterized in that: The data acquisition module is used to collect data, the data storage module is used to store the collected data, the data analysis module is used to analyze the collected data, and the result display module is used to display the data analysis module in all aspects. The data acquisition module includes data source, collection content and collection frequency. The data source establishes a stable data interface with major live broadcast platforms to collect various data during the live broadcast of real anchors and smart anchors in real time. The collection content includes the number of viewers, viewing time, geographical distribution of viewers, number of interactions, bullet screen content, product sales data, live broadcast time, and live broadcast theme. For real anchors, feature data such as the anchor's expression, tone, and action are collected; For the live broadcast of the smart anchor, the speech synthesis effect and animation performance data are collected. The collection frequency needs to be set according to the characteristics and needs of the live broadcast, and different data collection frequencies are set.

2. A data analysis system for live broadcast effects of real anchors and intelligent anchors according to claim 1, characterized in that: The data storage module includes database selection, data storage structure and data backup and recovery. The database selection adopts high-performance and high-reliability database technology. The data storage structure can classify and store different types of data. The data backup and recovery can back up data regularly and can quickly restore data in the event of data damage or loss.

3. A data analysis system for live broadcast effects of real anchors and intelligent anchors according to claim 1, characterized in that: The data analysis module includes comparative analysis, trend analysis, audience behavior analysis, anchor behavior analysis and multi-dimensional analysis. The comparative analysis is used to make a detailed comparison of various indicators between real anchors and smart anchors. The trend analysis adopts time series analysis to predict the number of viewers and sales data indicators of real anchors and smart anchors in the future, so as to provide a reference for live broadcast platforms and merchants to formulate strategies in advance. The audience behavior analysis conducts text analysis and sentiment analysis on the audience's interactive behavior to understand the audience's needs and interests, analyze the differences in audience behavior under different live broadcast modes, and provide specific suggestions for the optimization of live broadcast content. The anchor behavior analysis can evaluate the relationship between the anchor's language expression ability, communication skills, professional knowledge level factors and the number of viewers, number of interactions, and sales data. For smart anchor live broadcasts, it can analyze the impact of its speech synthesis effect and animation performance factors on the audience experience. The multi-dimensional analysis is analyzed by combining the live broadcast theme, live broadcast time, and audience regional factors.

4. A data analysis system for live broadcast effects of real anchors and intelligent anchors according to claim 1, characterized in that: The result display module includes chart display, data report display, real-time monitoring and personalized reports. The chart display can display the comparison results of the live broadcast effects of real anchors and smart anchors in the form of intuitive charts. The chart display includes bar charts, line charts and pie charts. The data report can display the basic information of the live broadcast, various indicator data and analysis conclusions. The real-time monitoring allows users to view the various data indicators of the current live broadcast at any time, and understand the live broadcast effect in a timely manner so as to make adjustments and decisions. The personalized report can generate a personalized report based on the user's role and needs.

5. A data analysis system for live broadcast effects of real anchors and intelligent anchors according to claim 4, characterized in that: The bar chart displays the number of viewers and makes comparisons, the line chart displays the trend of changes in viewing time, and the pie chart displays the proportion of interaction times.

6. A data analysis system for live broadcast effects of real anchors and intelligent anchors according to claim 4, characterized in that: The personalized report can provide an overall live broadcast effect analysis report for the live broadcast platform, a product sales analysis report for merchants, and a personal performance analysis report for anchors.

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