Main Article Content
The impact of social media on business, entertainment, education, and in almost every sector is increasing day by day. Peoples are expressing their positive as well as negative emotions on different platforms of social media. On Twitter also peoples are sharing their emotions through tweets. Peoples are retweeting on both positive as well as negative types of tweets. The objective of this paper is to study the sentiments of upcoming Olympics tweets to understand the emotions of people and their impact on retweets. The data for the study was collectedfrom the Twitter website in the form of tweets related to the upcoming Olympics.Sentimental analysis of tweets was used using python library textblobto understand the feelings or emotions of people. The results of the study indicated that the tweets having lower polarization are getting more tweets.This study helps the organizations to understand that the negative emotions (tweets) are more supported in social media especially on Twitter.