An Emotionally Unstable User Detection Method for Regular Video Comments

A technology for stabilizing users and detection methods, applied in the field of review text classification, can solve the problems of unresolved reviewers, changes, etc., and achieve the effect of solving the psychological problems of teenagers, good social benefits and economic value

Active Publication Date: 2022-04-08
XIHUA UNIV
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AI Technical Summary

Problems solved by technology

Nor does it address the fact that the sentiment of reviewers tends to change over time

Method used

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  • An Emotionally Unstable User Detection Method for Regular Video Comments
  • An Emotionally Unstable User Detection Method for Regular Video Comments
  • An Emotionally Unstable User Detection Method for Regular Video Comments

Examples

Experimental program
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Embodiment

[0105] (1) Data collection. A web crawler is used to obtain 349,612 regular comments of time-synchronized comments on the bilibili website. The data of the comment dataset comes from videos of 13 chapters of a series of works, which are stored from EP1-EP13 in the order of video release, and the interval between video updates and releases is 7 days , the total number of days that comment data persists is 545. Since there is currently no public and reliable bilibili website time-synchronized comment and regular comment sentiment classification dataset, in order to train and verify the sentiment analysis method, 9000 regular comments were randomly crawled as a sentiment classification dataset and marked.

[0106] (2) When users post regular comments, they can use the preset emoticons on the website, and add emoticons to the comment text to form a richer expression. Collect and organize the emoticon packages of the website, build the corresponding emoticon and text comparison ta...

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Abstract

The invention discloses a method for detecting emotionally unstable users oriented to regular video comments, which comprises the following steps: Step 1, collecting original data from websites, and filtering out regular comment text, user information and comment time. Step 2, realize the format processing of the data, and form a regular comment collection. Step 3: Summarize the preset expression packs on the website and build an expression comparison table to measure the emotional tendency of regular comments and realize the sentiment analysis of regular comments. Step 4, build a time series comment interaction network. Step 5, according to the temporal relationship between users, it is judged whether the user meets the definition of the emotionally unstable user, so as to detect the emotionally unstable user. The advantages of the present invention are: in the initial stage of public opinion development, according to the conventional comment content in the video, users with variable emotions can be found, which will bring a lot of convenience to the control and guidance of public opinion, thereby generating good social benefits and economic value.

Description

technical field [0001] The invention relates to the technical field of comment text classification, in particular to a method for detecting emotionally unstable users oriented to regular video comments. Background technique [0002] Online video is one of people's leisure and entertainment methods. After watching the video, users often post comments in two ways: (1) user barrage. (2) Post regular comments in the comment area of ​​the web page. Use this to describe your overall viewing experience. If the user is affected accordingly in the emotional difference time zone, based on the theory of cognitive dissonance, the user's emotional changes will also be reflected in the regular comment area. In the comment area, users can not only express their own understanding of the video content, but also interact with other users to form comment interactions between users. As time goes by, the number of comment interactions gradually increases, and multiple user comment interaction...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/951G06F16/9535G06N3/04G06N3/08
CPCG06F16/951G06F16/9535G06N3/049G06N3/08G06N3/045
Inventor 杜亚军李若淼赵飞宇
Owner XIHUA UNIV
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