International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Predicting Bihar Vidhan Sabha Elections Election Results with Twitter Using Bayesian Classifier, Authors : Varsha D. Jadhav, Sachin N. Deshmukh, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 5, Issue 2, March - April 2016

Title:
Predicting Bihar Vidhan Sabha Elections Election Results with Twitter Using Bayesian Classifier
Author Name:
Varsha D. Jadhav, Sachin N. Deshmukh
Abstract:
Abstract The data on social networking sites expresses opinions of people about business organizations, customer reviews and many real world applications. It is now a common practice to use social media data for political analysis, especially during election time. We focus our work on using election tweets from Twitter from the districts of Bihar. The objective of this paper is to predict public intention for the results of Bihar Vidhan Sabha election held in October-November 2015. This work uses the Bayesian method in R as the technology. This is helpful for predicting the results on the basis of public opinion given on the Twitter. Keywords: Twitter, Sentiment, Polarity, Emotion, Intention, Polarity, Bayes.
Cite this article:
Varsha D. Jadhav, Sachin N. Deshmukh , " Predicting Bihar Vidhan Sabha Elections Election Results with Twitter Using Bayesian Classifier " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 5, Issue 2, March - April 2016 , pp. 071-073 , ISSN 2278-6856.
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