A comparative study of emotion mining on social dedia data

Abstract

Sentiment analysis or emotion mining is the method of computational and natural language processing based techniques which are used to extract, identify or characterize subjective information, such as opinions, comment that expressed in a given piece of text. The main contributions of this paper involve the sophisticated categorizations of the trend of research on sentiment analysis and its allied areas as well as to identify the most and least commonly used feature selection techniques to find out research gaps for future research. This paperwork gives a detailed analysis of the recent sentiment analysis schemes and directed towards new avenues for future research work in this region.