Using sentiment and social network analyses to predict opening-movie box-office success
DSpace@MIT (Massachusetts Institute of Technology)Published 1 January 2010Open access
Lyric Doshi
Citations6
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TL;DR
This thesis explores notions of collective intelligence in the form of web metrics, social network analysis and sentiment analysis to predict the box-office income of movies and finds the most successful model improves on HSX and provides high correlations/low predictive error on both HSX delist prices as well as the final gross income of the movies.
Abstract
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2010.
Keywords
Social SciencesEconomics, Econometrics and FinanceArts and Humanities
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