Deep learning for sentiment analysis: A survey

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

# Sentiment Analysis and Opinion Mining # Computer Science # Topic Modeling # Hate Speech and Cyberbullying Detection

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