Personality Trait Analysis in Social Networks Based on Weakly Supervised Learning of Shared Images

Personality Trait Analysis in Social Networks Based on Weakly Supervised Learning of Shared Images

Social networks have attracted the attention of psychologists, as the behavior of users can be used to assess personality traits, and to detect sentiments and critical mental situations such as depression or suicidal tendencies. Recently, the increasing amount of image uploads to social networks has...

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Bibliographic Details
Main Authors: Pau Rodríguez, Diego Velazquez, Guillem Cucurull, Josep M. Gonfaus, F. Xavier Roca, Seiichi Ozawa, Jordi Gonzàlez
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
sentiment analysis, personality trait analysis
weakly-supervised learning
visual classification
OCEAN model
social networks
Online Access:https://www.mdpi.com/2076-3417/10/22/8170

Internet

https://www.mdpi.com/2076-3417/10/22/8170

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