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Predicting movie box-office revenues using deep neural networks
7 references·1 citing·38 second hop
Predicting movie box-office revenues using deep neural networks (2017)Predicting movie box-office revenues usin…Box office forecasting using machine learning algorithms based on SNS data (2015)Box office forecasting using …Pre-production forecasting of movie revenues with a dynamic artificial neural network (2014)Pre-production forecasting of…Forecasting box office revenue of movies with BP neural network (2008)Forecasting box office revenu…A blueprint for success in the US film industry (2008)A blueprint for success in th…The Power of Stars: Do Star Actors Drive the Success of Movies? (2007)The Power of Stars: Do Star A…Predicting box-office success of motion pictures with neural networks (2005)Predicting box-office success…Modeling Movie Life Cycles and Market Share (2005)Modeling Movie Life Cycles an…Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries (2020)Improving productivity in Hol…Predicting Success of Theatrical Movies: An Empirical Study (1983)A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures (1996)Information, Blockbusters and Stars? A Study of the Film Industry (1997)Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data (2013)Whose and what chatter matters? The effect of tweets on movie sales (2013)Movie Reviews and Revenues: An Experiment in Text Regression (2018)A New Product Growth for Model Consumer Durables (1969)A New Product Growth Model for Consumer Durables (1976)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Box-office forecasting based on sentiments of movie reviews and Independent subspace method (2016)Predicting movie success with machine learning techniques: ways to improve accuracy (2016)The economics of movies (revisited): A survey of recent literature (2022)Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue (2006)Exploring the value of online product reviews in forecasting sales: The case of motion pictures (2007)Predicting the Future with Social Media (2010)Demand forecasting with user-generated online information (2018)A Theory of the Allocation of Time (1965)Film Critics: Influencers or Predictors? (1997)Determinants of UK Box Office Success: The Impact of Quality Signals (2008)The Economics of Superstars (2009)Empirical generalizations on the impact of stars on the economic success of movies (2016)The use of data mining and neural networks for forecasting stock market returns (2005)Forecasting the volatility of stock price index (2006)Supporting better practice benchmarking: A DEA-ANN approach to bank branch performance assessment (2020)A Bayesian Model to Forecast New Product Performance in Domestic and International Markets (1999)Demand and Supply Dynamics for Sequentially Released Products in International Markets: The Case of Motion Pictures (2003)Movie Advertising and the Stock Market Valuation of Studios: A Case of “Great Expectations?” (2008)Impact of star and movie buzz on motion picture distribution and box office revenue (2010)Blogs, Advertising, and Local-Market Movie Box Office Performance (2013)Using daily stock returns (1985)Research in Organizational Behavior. (1986)Production, Information Costs and Economic Organization (1996)The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace (2011)Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies (2014)Good, better, engaged? The effect of company-initiated customer engagement behavior on shareholder value (2017)The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions (2006)Beyond likes and tweets: Consumer engagement behavior and movie box office in social media (2016)The emotional arcs of stories are dominated by six basic shapes (2016)
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References

  • 2007The Power of Stars: Do Star Actors Drive the Success of Movies?373 cited
  • 2005Predicting box-office success of motion pictures with neural networks299 cited
  • 2005Modeling Movie Life Cycles and Market Share253 cited
  • 2008Forecasting box office revenue of movies with BP neural network137 cited
  • 2014Pre-production forecasting of movie revenues with a dynamic artificial neural network119 cited
  • 2015Box office forecasting using machine learning algorithms based on SNS data107 cited
  • 2008A blueprint for success in the US film industry88 cited

Cited by

  • 2020Improving productivity in Hollywood with data science: Using emotional arcs of movies to drive product and service innovation in entertainment industries57 cited

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