Deep Learning for Sentiment Analysis : A Survey
Computation and Language
2018-01-31 v2 Information Retrieval
Machine Learning
Machine Learning
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 other application domains, deep learning is also popularly used in sentiment analysis in recent years. This paper first gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis.
Cite
@article{arxiv.1801.07883,
title = {Deep Learning for Sentiment Analysis : A Survey},
author = {Lei Zhang and Shuai Wang and Bing Liu},
journal= {arXiv preprint arXiv:1801.07883},
year = {2018}
}
Comments
34 pages, 9 figures, 2 tables