• Amandeep Kaur
• Dr. Rajinder Singh

In the ongoing general elections 2019 in India, technology has made it easier for political parties to gauge the mood of the voters and put their best message forward. Political parties are leveraging big data analytics to gather insights into voter preferences based on their socio-economic status, caste, local issues, and various other parameters. Based on the voter sentiment and segments, customized election campaigns with the most relevant messages and videos are being created and pitched to the specific target groups. Once the campaign is launched, data is gathered to analyze its effectiveness and tweak it further according to the response it generates. The research paper emphasized on collecting tweets and Facebook posts related to Indian elections and performing sentiments analysis on them. The paper illustrates the methodology adopted to perform sentiment analysis and reach a definite conclusion.

Elections, negative words, sentiment analysis, positive words, text mining

"Significance of Sentiment Analysis in Accessing Indian Elections Scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.325-335, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z49.pdf

"Significance of Sentiment Analysis in Accessing Indian Elections Scenario", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp325-335, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z49.pdf