Deep Learning for Sentiment Analysis : A Survey
It synthesizes existing knowledge for researchers and practitioners in natural language processing, but is incremental as it reviews rather than introduces new methods.
This paper provides a comprehensive survey of deep learning applications in sentiment analysis, summarizing current techniques and their state-of-the-art prediction results.
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.