Spatial Movie Prediction using conglomeration of Online Data
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Abstract
The entire focus of this project is a use big data and datamining techniques a gather information of a movie from YouTube, Twitter and IMDB a predict its success rates. It also focuses on which part of the world the movie is more likely a not get a good response and hence enable advertising in such areas a better the performance of the movie. The above goals are met but using text analysis and text mining, lexicon methods, use of bi-grams and tri grams and Geo-spatial mining of global tweets.
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