Readers’ affect: predicting and understanding readers’ emotions with deep learning

Readers’ affect: predicting and understanding readers’ emotions with deep learning

Abstract Emotions are highly useful to model human behavior being at the core of what makes us human. Today, people abundantly express and share emotions through social media. Technological advancements in such platforms enable sharing opinions or expressing any specific emotions towards what others...

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Bibliographic Details
Main Authors: Anoop K., Deepak P., Savitha Sam Abraham, Lajish V. L., Manjary P. Gangan
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Journal of Big Data
Subjects:
Readers’ emotion detection
Affective computing
Textual emotion detection
Deep learning
Attention
Interpretability
Online Access:https://doi.org/10.1186/s40537-022-00614-2

Internet

https://doi.org/10.1186/s40537-022-00614-2

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