Blogs as Predictors of Movie Success

Authors

  • Eldar Sadikov Stanford University
  • Aditya Parameswaran Stanford University
  • Petros Venetis Stanford University

Keywords:

prediction, correlation, clustering, time-series analysis, blog mining, movie sales

Abstract

Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented. We use correlation, clustering and time-series analysis to study which features are best predictors.

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Published

2009-03-20

How to Cite

Sadikov, E., Parameswaran, A., & Venetis, P. (2009). Blogs as Predictors of Movie Success. Proceedings of the International AAAI Conference on Web and Social Media, 3(1), 304-307. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/13966