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...

Full description

Bibliographic Details

Published in:	IEEE access Vol. 8; pp. 22945 - 22954
Main Authors:	Zhang, Dong, Li, Shoushan, Zhu, Qiaoming, Zhou, Guodong
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!