Cargando…
Microblog User Emotion Analysis Method Based on Improved Hierarchical Attention Mechanism and BiLSTM
The goal of Chinese fine-grained emotion analysis is to identify the target words corresponding to fine-grained elements from sentences and determine the corresponding emotional polarity for the target words. Aiming at the problem that the current Sina Microblog user emotion analysis methods have lo...
Autores principales: | Chen, Xiao, Xiao, Xiongliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259265/ https://www.ncbi.nlm.nih.gov/pubmed/35814532 http://dx.doi.org/10.1155/2022/8208561 |
Ejemplares similares
-
Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
por: Li, Aichuan, et al.
Publicado: (2022) -
Retracted: Emotion Analysis Model of Microblog Comment Text Based on CNN-BiLSTM
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
A Convolutional Neural Network Face Recognition Method Based on BiLSTM and Attention Mechanism
por: Qi, Xiaobo, et al.
Publicado: (2023) -
Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism
por: Wu, Jiawei, et al.
Publicado: (2023) -
Integrating BERT Embeddings and BiLSTM for Emotion Analysis of Dialogue
por: Gou, Zhinan, et al.
Publicado: (2023)