A survey on deep learning for textual emotion analysis in social networks

A survey on deep learning for textual emotion analysis in social networks

Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods have developed rapidly, and they have proven to be successful in many fields such as audio, image, and natural language processing. This trend has drawn increasing researcher...

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Bibliographic Details
Main Authors: Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-10-01
Series:Digital Communications and Networks
Subjects:
Text
Emotion analysis
Deep learning
Sentiment analysis
Pre-training
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864821000833

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http://www.sciencedirect.com/science/article/pii/S2352864821000833

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