A personality recognition system and method for social network users

Abstract

The invention provides a personality recognition system and method for social network users, and belongs to the field of machine learning and subject cognition. The system 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. The method comprises the following steps: firstly, crawling network behavior data authorized by a user, and generating an offline network behavior data set with a personality label; extracting user behavior characteristics from the offline network behaviordata with the personality tags; Dividing the data into a training set and a test set, and finally selecting an optimal model by adopting different machine learning algorithms; and finally, continuingmodel optimization until a personality analysis model meeting the standard is obtained, and further obtaining the personality label of the user. According to the method, the on-line behavior of the social network user is analyzed, the strong correlation characteristics are mined, the optimal characteristic combination is selected according to the swarm intelligence optimization algorithm, the personality of the social network user is obtained through analysis, and a basis is provided for personalized recommendation and user psychological early warning.

Description

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

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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