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

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...

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Bibliographic Details
Main Authors: Xiangsen Zhang, Zhongqiang Wu, Ke Liu, Zengshun Zhao, Jinhao Wang, Chengqin Wu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
sentiment classification
BERT word vector
bidirectional slice-gated recurrent unit
multi-head self-attention mechanism
Online Access:https://www.mdpi.com/1424-8220/23/3/1481

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