Abstract

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

Computer scienceDeep learningSentiment analysisArtificial intelligenceData scienceMachine learningNatural language processing

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Publication Info

Year
2018
Type
article
Volume
8
Issue
4
Citations
1766
Access
Closed

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Social media, news, blog, policy document mentions

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1766
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56
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Cite This

Lei Zhang, Shuai Wang, Bing Liu (2018). Deep learning for sentiment analysis: A survey. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery , 8 (4) . https://doi.org/10.1002/widm.1253

Identifiers

DOI
10.1002/widm.1253
arXiv
1801.07883

Data Quality

Data completeness: 88%