Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions

Toward Transformer Fusions for Chinese Sentiment Intensity Prediction in Valence-Arousal Dimensions

BERT (Bidirectional Encoder Representations from Transformers) uses an encoder architecture with an attention mechanism to construct a transformer-based neural network. In this study, we develop a Chinese word-level BERT to learn contextual language representations and propose a transformer fusion f...

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Bibliographic Details
Main Authors: Yu-Chih Deng, Yih-Ru Wang, Sin-Horng Chen, Lung-Hao Lee
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Transformer fusion
Chinese word-level BERT
pre-trained language models
dimensional sentiment analysis
affective computing
Online Access:https://ieeexplore.ieee.org/document/10273686/

Internet

https://ieeexplore.ieee.org/document/10273686/

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