System and method for personality recognition of social network users

Abstract

The invention proposes a social network user personality recognition system and method, belonging to the field of machine learning and subject cognition. The system of the present invention comprises: a social network crawler module, a social network user personality analysis module, a social network user database module, and an analysis result response module. First, crawl the network behavior data authorized by users to generate offline network behavior data sets with personality tags; extract user behavior characteristics from the offline network behavior data with personality tags; divide the aforementioned data into training sets and test sets, and use different The machine learning algorithm finally selects the optimal model; finally, continues model optimization until a qualified personality analysis model is obtained, and then the user's personality label is obtained. The present invention analyzes the online behavior of social network users, mines strong correlation features, selects the optimal feature combination according to the group intelligence optimization algorithm, analyzes and obtains the personality of social network users, and provides a basis for personalized recommendation and user psychological early warning.

Description

Technical field [0001] The present invention belongs to the field of machine learning and subject cognition, specifically relates to a personality recognition system and method of a social network user. Background [0002] With the development of the Internet, various Internet applications have gradually entered people's lives. People's habits and needs when using Internet applications are different, and personalization has gradually become an important factor to consider in applications such as recommendation systems and user psychological warnings. Second, personality is highly correlated with behavior in cyberspace, so acquiring the personality of a web user can further promote the development of personalized applications. Third, the traditional personality measurement is mainly carried out through questionnaires, which is not suitable for large-scale user personality measurement, and with the help of social networking platforms, users will generate a large amount of informati...

AI Technical Summary

Problems solved by technology

[0005] In view of the existing personality research methods, the text style analysis is not deep enough, and the existing feature optimization method only targets a single feature, which cannot guarantee that the combination of features can achieve the optimal effect of personality recognition. The present invention proposes a social network The user's personality recognition system and method, by analyzing the online behavior of social network users, mining strong correlation features, selecting the optimal feature combination according to the swarm intelligence optimization algorithm, analyzing the personality of social network users, providing personalized recommendation and user psychology Early warning provides the basis

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