Multi-Modal Sentiment Classification With Independent and Interactive Knowledge via Semi-Supervised Learning

Multi-modal sentiment analysis extends conventional text-based definition of sentiment analysis to a multi-modal setup where multiple relevant modalities are leveraged to perform sentiment analysis. In real applications, however, acquiring annotated multi-modal data is normally labor expensive and t...

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Veröffentlicht in:	IEEE access Jg. 8; S. 22945 - 22954
Hauptverfasser:	Zhang, Dong, Li, Shoushan, Zhu, Qiaoming, Zhou, Guodong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Annotations Classification Data acquisition Data mining Decoding Empirical analysis Feature extraction Modal data multimedia computing Natural language processing Semi-supervised learning Semisupervised learning Sentiment analysis Supervised learning Videos
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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