Open AccessSURVEY ON SENTIMENT ANALYSIS OF STOCK MARKET
Author(s) -
S Nausheen,
Anil Kumar,
K K Amrutha
Publication year - 2017
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v5.i4racsit.2017.3354
Subject(s) - sentiment analysis , stock market , data science , computer science , field (mathematics) , stock (firearms) , data mining , artificial intelligence , engineering , history , mechanical engineering , context (archaeology) , mathematics , archaeology , pure mathematics
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.