SC-BiCapsNet: A Sentiment Classification Model Based on Bi-Channel Capsule Network

Most text sentiment classification methods have the shortcomings of insufficient semantic understanding and low classification accuracy. To solve these problems, a sentiment classification model based on capsule network (SC-BiCapsNet) was proposed in this paper. In the stage of word vectorization, t...

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Veröffentlicht in:	IEEE access Jg. 7; S. 171801 - 171813
Hauptverfasser:	Zhang, Kejun, Jiao, Meng, Chen, Xiaoming, Wang, Zhiqiang, Liu, Biao, Liu, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms capsule network Classification Datasets deep learning dynamic routing algorithm Feature extraction Heuristic algorithms Machine learning Representations Routing Semantics Sentiment analysis Task analysis Text sentiment classification Words (language)
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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