Transformer Based Multi-Grained Attention Network for Aspect-Based Sentiment Analysis

Transformer Based Multi-Grained Attention Network for Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis aims to predict sentiment polarity for every aspect in a sentence review. Most existing approaches are based on the sequence models, which may superimpose the emotional semantics of different tendencies and lack syntactic structure information. And most models adopt c...

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Bibliographic Details
Main Authors: Jiahui Sun, Ping Han, Zheng Cheng, Enming Wu, Wenqing Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Aspect-based sentiment analysis
transformer
tree transformer
attention mechanism
nature language processing
Online Access:https://ieeexplore.ieee.org/document/9265203/

Internet

https://ieeexplore.ieee.org/document/9265203/

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