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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Xuchu, Song, Chao, Xu, Yucheng, Li, Ying, Peng, Yili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202631/
https://www.ncbi.nlm.nih.gov/pubmed/35721405
http://dx.doi.org/10.7717/peerj-cs.1005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202631/
https://www.ncbi.nlm.nih.gov/pubmed/35721405
http://dx.doi.org/10.7717/peerj-cs.1005

Ejemplares similares