SURVEY ON SENTIMENT ANALYSIS OF STOCK MARKET
DOI:
https://doi.org/10.29121/granthaalayah.v5.i4RACSIT.2017.3354Keywords:
Support Vector Machine, NaiveBayes, K-Nearest NeighbourAbstract [English]
Sentiment analysis has seen a tremendous growth in the past few years. Sentiment analysis or opinion mining is a process of collecting users’ opinion from user generated content. It has various applications, such as stock market prediction, products’ review collection, etc. a large amount of work has been done in this field by applying sentiment analysis to various applications. The main goal of this paper is to study the various methods used for sentiment analysis. Further we explain the overview of various related papers and their performances.
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