Cargando…
Interactive Dual Attention Network for Text Sentiment Classification
Text sentiment classification is an essential research field of natural language processing. Recently, numerous deep learning-based methods for sentiment classification have been proposed and achieved better performances compared with conventional machine learning methods. However, most of the propo...
Autores principales: | Zhu, Yinglin, Zheng, Wenbin, Tang, Hong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7657682/ https://www.ncbi.nlm.nih.gov/pubmed/33204245 http://dx.doi.org/10.1155/2020/8858717 |
Ejemplares similares
-
Imbalanced Text Sentiment Classification Based on Multi-Channel BLTCN-BLSTM Self-Attention
por: Cai, Tiantian, et al.
Publicado: (2023) -
Sentimental text mining based on an additional features method for text classification
por: Cheng, Ching-Hsue, et al.
Publicado: (2019) -
Sentiment Classification for Financial Texts Based on Deep Learning
por: Dong, Shanshan, et al.
Publicado: (2021) -
Text Sentiment Classification Based on BERT Embedding and Sliced Multi-Head Self-Attention Bi-GRU
por: Zhang, Xiangsen, et al.
Publicado: (2023) -
Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
por: Chen, Meikang, et al.
Publicado: (2022)