DOI:
10.1609/icwsm.v3i1.13966
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.
Eldar Sadikov,Aditya Parameswaran,Petros Venetis
Stanford University,Stanford University,Stanford University
10.1609/icwsm.v3i1.13966
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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