Deep learning for sentiment analysis: A survey
Lei Zhang, Shuai Wang, Bing Liu
LinkedIn (United States) University of Illinois Chicago
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摘要与影响
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
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计算机 / AISentiment Analysis and Opinion Mining
Topic Modeling · Advanced Text Analysis Techniques
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