Predicting Bihar Vidhan Sabha Elections Election Results with Twitter Using Bayesian Classifier
Journal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.5, No. 2)Publication Date: 2016-05-07
Authors : Varsha D. Jadhav; Sachin N. Deshmukh;
Page : 71-73
Keywords : Twitter; Sentiment; Polarity; Emotion; Intention; Polarity; Bayes.;
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.
Other Latest Articles
- A Systematic Analysis on the Components of Software Process Layered Architecture
- Comparative Study of Different Cryptographic Algorithms
- Studies on mass production and shelf life of Paecilomyces lilacinus
- SEISMIC DEMAND STUDY OF SOFT STOREY BUILDING AND ITS STRENGTHENING FOR SEISMIC RESISTANCE
- TRACKING OWNER DETAILS BY AUTOMATIC NUMBER PLATE RECOGNITION
Last modified: 2016-05-07 15:53:41