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Movie Rating Prediction Based on Twitter Sentiment Analysis

Name: Movie Rating Prediction Based on Twitter Sentiment Analysis
Brand: LAP Lambert Academic Publishing
SKU: 18310576
Price: 31.93 EUR
Availability: InStock
Author: Abhishek Kesharwani
ISBN: 9786202051538

Twitter Sentiment Analysis

Abhishek Kesharwani

Language

English

Book Paperback

Libristo code: 18310576

Publishers LAP Lambert Academic Publishing, November 2016

With microblogging platforms such as Twitter generating huge amounts of textual data every day, the... Full description

Libristo code: 18310576

78 b

31.93 €

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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 mechanismnon 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 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.