• Goutam Majumder

Sentiment analysis on online reviews has become a hot research field for every industry. Study of social network is the study of the interactions and correspondence of people on different topics and it has gained more attention nowadays. Millions of people on social media such as Facebook and Twitter give their opinions on different topics on a daily basis. It has many uses in different fields of research, from the social sciences to industry. Elections are made to view the public opinion, where a group of people chooses a candidate by means of votes, many methods are used to predict the outcome. Many agencies and media companies conduct pre-screening surveys and expert opinions to predict election results. We use twitter data to predict the outcome of the election by collecting twitter data and analysing it to predict the outcome of the election by analysing the sentiment of the candidate's twitter data. We used machine-based lexicon approach to finding emotions in twits and predicting sentiment score.

Sentiment Analysis, prediction analysis, Twitter API

"Analysis and Prediction over Indian Election Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.388-392, November 2018, Available :http://www.jetir.org/papers/JETIRDR06063.pdf

"Analysis and Prediction over Indian Election Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp388-392, November 2018, Available at : http://www.jetir.org/papers/JETIRDR06063.pdf