Sentiment Analysis: A Survey
It provides a comprehensive overview for researchers and practitioners in natural language processing, but is incremental as it is a survey of existing work.
This survey tackles the problem of sentiment analysis by reviewing various approaches and methodologies used to identify and extract subjective information from user-generated content, such as product reviews and social media, but does not present new results or concrete numbers.
Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem. This survey would cover various approaches and methodology used in Sentiment Analysis and Opinion Mining in general. The focus would be on Internet text like, Product review, tweets and other social media.