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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Veröffentlicht in:	IEEE access Jg. 9; S. 8762 - 8770
Hauptverfasser:	Lin, Yuming, Wang, Chaoqiang, Song, Hao, Li, You
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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-Zugang:	Volltext
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