Paper Title
Sentiment Analysis Using Big Data From Socialmedia

Abstract
The massive growth of social media has given fresh impetus to the field of sentiment analysis. It is the computational treatment of sentiments in a text. Through this paper the authors have given an overview of the different sentiment analysis techniques and tools currently being employed to gauge the sentiments of social media data. This paper has set the stage for the future implementation of sentiment analysis on twitter data to determine the polarity of the tweets in favor of each participating team in a cricket world cup 2015 match. The authors intend on doing tweets extraction using Gnip Power Track, preprocessing using Christopher Pott’s twitter tokenizer, and determination of polarity using the Naïve Bayes and SVM sentiment classifiers. Keywords- Big Data, Data Mining, Sentiment Analysis, Social Media

Author - Vaishali Sarathy, Srinidhi.S, Karthika.S

Published : Volume-2, Issue-6  ( Jun, 2015 )

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