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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |