Session 12: Applications - Prediction on Oscar Winners Based on Twitter Sentiment Analysis Using R
Presentation Type
Event
Abstract
In the new era of development, social media is not only getting popularity but also useful to reveal hidden information. Most of the people use social media to connect friends and family, to express their emotions, to give feedback, and to raise concerns as quickly as possible. We can reveal important information from people responses in social media. OSCAR nominations were announced for the year 2017 and all the nominees are very active on Twitter. All the tweets regarding their nominations are publicly available. Here, in this paper, we analyzed the public tweets from Twitter and predict who will be the OSCAR winner in 2017. More specifically, we analyzed all the tweets of the OSCAR nominees in the category of “Actor in leading role” since the day of OSCAR nomination announcement. After analyzing the data, we predicted who will be the winner based on the twitter sentiment analysis using R programming.
Start Date
2-12-2018 3:30 PM
End Date
2-12-2018 5:00 PM
Session 12: Applications - Prediction on Oscar Winners Based on Twitter Sentiment Analysis Using R
University Student Union: Pasque Room 255
In the new era of development, social media is not only getting popularity but also useful to reveal hidden information. Most of the people use social media to connect friends and family, to express their emotions, to give feedback, and to raise concerns as quickly as possible. We can reveal important information from people responses in social media. OSCAR nominations were announced for the year 2017 and all the nominees are very active on Twitter. All the tweets regarding their nominations are publicly available. Here, in this paper, we analyzed the public tweets from Twitter and predict who will be the OSCAR winner in 2017. More specifically, we analyzed all the tweets of the OSCAR nominees in the category of “Actor in leading role” since the day of OSCAR nomination announcement. After analyzing the data, we predicted who will be the winner based on the twitter sentiment analysis using R programming.