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Deep learning for sentiment analysis: A survey

delete2018-03-30
delete980
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OA
AI
L
Lei Zhang
S
Shuai Wang
B
Bing Liu *
DOI:10.1002/widm.1253delete
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Abstract

Abstract

En 中文
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many application domains, deep learning is also used in sentiment analysis in recent years. This paper gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis. This article is categorized under: Fundamental Concepts of Data and Knowledge > Data Concepts Algorithmic Development > Text Mining
Keywords:
data mining
deep learning
machine learning
natural language processing
neural network
opinion mining
sentiment analysis
survey
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Journal

Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery cover
Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
IF:
11.7
Papers:
532
Citations:
5.3K

Organization

U
University of Illinois Chicago
Scholars:
1.7W
Papers: 1.4W
Citations: 3.0W
University of Illinois System cover
University of Illinois System
Scholars:
6.8W
Papers: 6.2W
Citations: 644