Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model

Sentiment analysis of netizens’ comments can accurately grasp the psychology of netizens and reduce the risks brought by online public opinion. However, there is currently no effective method to solve the problems of short text, open word range, and sometimes reversed word order in comments. To bett...

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Bibliographic Details
Main Authors:	Xuchu Jiang, Chao Song, Yucheng Xu, Ying Li, Yili Peng
Format:	Article
Language:	English
Published:	PeerJ Inc. 2022-06-01
Series:	PeerJ Computer Science
Subjects:	BERT BiLSTM TextCNN Sentiment classification
Online Access:	https://peerj.com/articles/cs-1005.pdf

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