Enhancing Aspect-Based Sentiment Analysis With Capsule Network

Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to improve their performance with pre-trained word embeddings and by modeling the relations between the text sequence and the aspect (or category), thus heavily depending on the quality of word embeddings and tas...

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Veröffentlicht in:	IEEE access Jg. 8; S. 100551 - 100561
Hauptverfasser:	Su, Jindian, Yu, Shanshan, Luo, Da
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Aspect-based sentiment analysis Bit error rate Context modeling Data mining deep learning Downstream effects Natural language processing neural network Neural networks Representations Sentiment analysis Sun Task analysis text analysis Training data Words (language)
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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