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Correlations Between Sentiment Analysis of Movie Tweets, Film Critics Reviews, and Box Office Earnings

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dc.contributor.advisor Sanders, Nathan
dc.contributor.author Bhattasali, Shohini
dc.date.accessioned 2014-04-01T13:45:53Z
dc.date.available 2014-04-01T13:45:53Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/10066/13410
dc.description.abstract This thesis explores correlations between sentiment analysis ratings from movie tweets, film critics' ratings, and box office earnings. Two sentiment analysis tools, NLTK and Pattern, are used to collect and automatically extract the sentiments behind tweets about five movies released during summer 2013: Despicable Me 2, The Bling Ring, Man of Steel, Monsters University, and World War Z. The average ratings for each movie are compared to the scores for each movie on Metacritic and Rotten Tomatoes. Overall, for most of the movies the results from the sentiment analysis ratings and film critics were similar, although in some instances they did vary considerably. Additionally, Pattern corresponded better with the film critics' ratings than NLTK. Furthermore, through graphical and statistical analysis, correlations between these sets of ratings and the box office earnings are studied. The analysis did not result in significant correlations to make concrete conclusive predictions. en_US
dc.description.sponsorship Swarthmore College. Dept. of Linguistics en_US
dc.language.iso en_US en_US
dc.rights Full copyright to this work is retained by the student author. It may only be used for non-commercial, research, and educational purposes. All other uses are restricted.
dc.title Correlations Between Sentiment Analysis of Movie Tweets, Film Critics Reviews, and Box Office Earnings en_US
dc.type Thesis (B.A.)


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