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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Bibliographic Details
Published in:	IEEE access Vol. 8; pp. 100551 - 100561
Main Authors:	Su, Jindian, Yu, Shanshan, Luo, Da
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
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