Multi-Head Self-Attention Transformation Networks for Aspect-Based Sentiment Analysis

Aspect-based sentiment analysis (ABSA) aims to analyze the sentiment polarity of an input sentence in a certain aspect. Many existing methods of ABSA employ long short-term memory (LSTM) networks and attention mechanism. However, the attention mechanism only models the local certain dependencies of...

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Bibliographic Details

Published in:	IEEE access Vol. 9; pp. 8762 - 8770
Main Authors:	Lin, Yuming, Wang, Chaoqiang, Song, Hao, Li, You
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Analytical models Aspect-based sentiment analysis Context modeling Data mining Dependence Feature extraction MSAT Networks self-attention Sentiment analysis target-specific transformation Task analysis transformation networks Transformations
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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