Using Position-Enhanced Attention Mechanism for Aspect-Based Sentiment Classi-fication

Using Position-Enhanced Attention Mechanism for Aspect-Based Sentiment Classi-fication

Aspect-based sentiment classification is designed to accurately identify the emotional polarity of aspect in a comment. Most existing long short term memory (LSTM) network uses only the semantic information of aspects and contexts, while ignoring the function of relative position information between...

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Bibliographic Details
Main Author: ZHANG Zhoubin, XIANG Yan, LIANG Junge, YANG Jialin, MA Lei
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
aspect
sentiment classification
attention mechanism
long short term memory (lstm) network
position information
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2165.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2165.shtml

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