Mr Kesharwani, Mr Rakesh, Bharti Tech, A Abdul, Asst Prof, A Abdul
2017 Journal of Advanced Computing and Communication Technologies   unpublished
With microblogging platforms such as Twitter generating huge amounts of textual data every day, the possibilities of knowledge discovery through Twitter data becomes increasingly relevant. Similar to the public voting mechanism on websites such as the Internet Movie Database (IMDb) that aggregates movies ratings, Twitter content contains reflections of public opinion about movies. This study aims to explore the use of Twitter content as textual data for predicting the movie rating. In this
more » ... ating. In this study, we extract number of tweets and compiled to predict the rating scores of newly released movies. Predictions were done with the algorithms, exploring the tweet polarity. In addition, this study explores the use of several different kinds of tweet classification Algorithm and movie rating algorithm. Results show that movie rating developed by our application is compared to IMDB and Rotten Tomatoes. General Terms Movie rating prediction, tweet polarity Keywords Twitter sentiment analysis, comparison of twitter rating from IMDB and Rotten Tomatoes, tweet classification algorithm, movie rating algorithm.