Details for Paper Id: 104

Title: MOVIE RATING PREDICTION BASED ON TWITTER SENTIMENT ANALYSIS
Abstract: 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 study, we extract number of tweets and compiled to predict the rating scores of newly released movies. Predictions were done with the algorithms, exploring
Keywords Movie rating prediction, tweet
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Uploader's ID 31
Submission Time 2017-02-26 21:08:10
Paper Review Status 5