Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks

Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks

The way users interact on social media can indicate their well-being. When depressed, people’s feelings tend to be more evident, affecting how users interact and demonstrating their feelings on social media. This paper presents a new approach for the temporal assessment of emotional behav...

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Bibliographic Details
Main Authors: Felipe Taliar Giuntini, Kaue L. de Moraes, Mirela T. Cazzolato, Luziane de Fatima Kirchner, Maria de Jesus D. Dos Reis, Agma J. M. Traina, Andrew T. Campbell, Jo Ueyama
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Affective computing
behavior analysis
complex networks
data mining
depression
emotion recognition
Online Access:https://ieeexplore.ieee.org/document/9462934/

Internet

https://ieeexplore.ieee.org/document/9462934/

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