Text Sentiment Classification Based on BERT Embedding and Sliced Multi-Head Self-Attention Bi-GRU

In the task of text sentiment analysis, the main problem that we face is that the traditional word vectors represent lack of polysemy, the Recurrent Neural Network cannot be trained in parallel, and the classification accuracy is not high. We propose a sentiment classification model based on the pro...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xiangsen, Wu, Zhongqiang, Liu, Ke, Zhao, Zengshun, Wang, Jinhao, Wu, Chengqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920561/
https://www.ncbi.nlm.nih.gov/pubmed/36772522
http://dx.doi.org/10.3390/s23031481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920561/
https://www.ncbi.nlm.nih.gov/pubmed/36772522
http://dx.doi.org/10.3390/s23031481

Ejemplares similares