Multi-modal user emotion analysis method based on knowledge graph

Abstract

The invention provides a multi-modal user emotion analysis method based on a knowledge graph. The method comprises the steps of acquiring an emotion analysis service request of a user is received or authorization of social network data of the monitored user applied to emotion analysis service; acquiring user social network data, establishing a user graph model based on the user social network data, the user graph model comprises a data graph DGraph, an information graph IGraph and a knowledge graph KGraph, and storing DDIK, IDIK and KDIK resources respectively; extracting an interactive relationship tuple Inter (user) of the user and other people from the user graph model, substituting the Inter (user) into the function for calculation, and analyzing the emotional tendency of the user according to a calculation result; and sending the emotion tendency analysis result to the corresponding user. According to the method, the emotional tendency of the user can be analyzed based on massivesocial network data under the condition that the user does not perceive, so that the user is helped to know the emotional tendency situation in time, and emotional disorders are prevented.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a multimodal user emotion analysis method based on a knowledge map. Background technique [0002] The development of modern society has made human beings gradually divorced from their natural attributes. Environmental pollution, fast-paced life, competitive pressure, complex social relationships, bad work and rest time, differences in consumption orientation, etc., have gradually increased the number of people who have psychological problems. Mood fluctuations caused by relationship conflicts, loss of interest caused by bad moods for a period of time, disordered life patterns or even abnormal behaviors, personality deviations, etc. These emotional disorders caused by practical problems may develop into serious psychological disorders if left alone . Some of them may not be aware that they have emotional disorders, while others may know that they have certain emot...

AI Technical Summary

Problems solved by technology

Some of them may not be aware that they have emotional disorders, while others may know that they have certain emotional disorders, but they do not seek medical treatment in time due to shame or lack of attention, leading to further development of emotional disorders into mental illness

Social network has gradually become one of the main ways for people to vent their emotions and show their true self in the online world. The user's emotional state can often be seen through the social behavior of the user on the social network. However, there is no relevant Technical means can realize the processing of massive social network data to conduct emotional analysis on users

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