Social network comment text sentiment analysis method and system fusing user sentiment tendency

Abstract

The invention provides a social network comment text sentiment analysis method and system fusing user sentiment tendency. The method comprises the following steps: calculating a sentiment tendency score of a user through sentiment polarity distribution of historical comments of the user and a social relation; constructing a user social relation network by taking the emotional tendency scores of the users as attribute information of the users and taking social relations between the users as side information; extracting user emotional tendency feature representation; extracting feature representation of the comment text; the comment text features and the user emotional tendency features corresponding to the comments are fused through a joint strategy to obtain comment joint feature representation, and a logic regression model is constructed to predict and analyze the emotional polarity of the social network comment text. According to the method, the psychological intervention factors of the user are combined, the emotion tendency features of the user and the text features are fused technically to obtain the feature-enhanced joint features for social network text emotion analysis, and compared with a traditional emotion analysis method only based on the text features, the method has higher accuracy.

Description

technical field [0001] The invention relates to the technical field of mental health tracking of adolescents, and specifically relates to a method and system for analyzing the sentiment of social network comment texts that integrate user sentiment tendencies. Background technique [0002] With the rapid development of social economy, the pressure of social competition is increasing, and the psychological pressure of young people is also increasing day by day. Because teenagers are generally in adolescence, their psychological state is relatively more fragile, and they are also under psychological pressure from academics, communication, family, emotion, self-cognition and employment. Too much stress can easily lead to mental health problems. When the pressure exceeds the ability to bear and cannot be solved in a timely and effective manner, teenagers are likely to release the pressure by hurting themselves or others, thus embarking on the road of crime . Offline psychologic...

AI Technical Summary

Problems solved by technology

However, this method cannot directly obtain the user's emotional state, and relevant institutions cannot conduct targeted intervention on users based on the results of this method.

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