Social network platform-based emotion analysis method, device and system

Abstract

The present invention discloses a social network platform-based emotion analysis method. The method includes the following steps that: the social network platform-based interaction information data ofa user are acquired according to the authorization information of the user; the interaction information data are analyzed and processed through a training model corresponding to a machine learning algorithm, so that an analysis result can be obtained; whether psychological assistance is to be provided is judged according to the analysis result; when the psychological assistance is provided, the psychological assistance-based assistance interaction data of the user are acquired; and the levels of the negative emotions of the user are determined according to the assistance interaction data. According to the method, the social relationships, contents and interactions of users on the social network platform are concerned, so that a user having a suicide intention can be found out timely, andpsychological assistance can be provided for the user; and therefore, vicious events can be prevented. The present invention also discloses a social network platform-based emotion analysis device, a social network platform-based emotion analysis system and a computer readable storage medium which have the same advantages with the social network platform-based emotion analysis method.

Description

technical field [0001] The present application relates to the field of computer network technology, in particular to a social network platform-based sentiment analysis method, and also to a social network platform-based sentiment analysis device, system, and computer-readable storage medium. Background technique [0002] With the rapid development of science and technology, mobile Internet technology has brought social networking platforms into a new stage of people-oriented social forms: more diverse social relationships, richer social content, and more colorful social interactions. On the one hand, this means that people's "words and deeds" on social networking platforms are no longer just a virtual image behavior, but truly reflect their life or emotional state; Psychological research on individual users has more social and practical significance. [0003] In recent years, due to various reasons, users have vented their negative emotions and revealed suicidal tendencies ...

AI Technical Summary

Problems solved by technology

[0003] In recent years, due to various reasons, users have vented their negative emotions and suicidal tendencies on social networking platforms rather than in real life. Despite the persuasion of netizens and the intervention of the police, there have been incidents that ended in tragedy.

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