Twitter is the famous micro blogging site where millions of users share their opinions every day. These opinions are important for the researchers or analyst to research about the services or product which in turn helps to study the market. Sentiment analysis is the task to extract the clear insight from social data. This process helps to determine the emotional tone behind a series of words to gain the overview of the wider public opinion. Intuitively, polarity classification is usually used by the companies for market analysis to fetch public opinion about their products. So businesses are looking forward to understanding the reviewer’s opinion using sentiment analysis. In this paper, we are presenting an approach to implementing a tool that can be used to classify the tweets as positive, negative or neutral.
Dolly Khandelwal, Prof. Megha Mishra, Dr. V. K. Mishra
Sentiment Analysis, Twitter, Classification, machine learning
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|Published in :
||Volume 2 | Issue 2 | March-April - 2016
|Date of Publication
Cite This Article
Dolly Khandelwal, Prof. Megha Mishra, Dr. V. K. Mishra, "A Survey On Subjective Sentiment Analysis From Twitter Corpus", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.1198-1200, March-April-2016.
URL : http://ijsrset.com/IJSRSET1622380.php