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Predicting box-office success of motion pictures with neural networks · Study

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ArticlePredicting box-office success of motion pictures with neural networks

Ramesh Sharda2005

Article2005

Predicting box-office success of motion pictures with neural networks

Ramesh Sharda · Dursun Delen

299 citations·0/0 files stored·Expert Systems with Applications

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Cinema and Media Studies Forecasting Techniques and Applications Stock Market Forecasting Methods

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References

1997Information, Blockbusters and Stars? A Study of the Film Industry 1996A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures 1983Predicting Success of Theatrical Movies: An Empirical Study 1999A Bayesian Model to Forecast New Product Performance in Domestic and International Markets 1994Modeling Goes to Hollywood: Predicting Individual Differences in Movie Enjoyment 1998Seasonal Marketing and Timing New Product Introductions

Cited by

2013Whose and what chatter matters? The effect of tweets on movie sales 2013Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data 2018Movie Reviews and Revenues: An Experiment in Text Regression 2016Early Predictions of Movie Success: The Who, What, and When of Profitability 2018Video Content Marketing: The Making of Clips 2008Forecasting box office revenue of movies with BP neural network 2014Pre-production forecasting of movie revenues with a dynamic artificial neural network

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Details

Year2005

Typearticle

Published2005-08-10

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations299

Files0 public / 0

ShelfCinema and Media Studies

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doi10.1016/j.eswa.2005.07.018

openalex_workW2020615055

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2014

Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements