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A machine learning approach to predict movie box-office success
9 references·1 citing·39 second hop
A machine learning approach to predict movie box-office success (2017)A machine learning approach to predict mo…Early Predictions of Movie Success: The Who, What, and When of Profitability (2016)Early Predictions of Movie Su…Predicting movie Box-office revenues by exploiting large-scale social media content (2014)Predicting movie Box-office r…Prediction of movies box office performance using social media (2013)Prediction of movies box offi…Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data (2013)Early Prediction of Movie Box…Blogs, Advertising, and Local-Market Movie Box Office Performance (2013)Blogs, Advertising, and Local…Improving Movie Gross Prediction through News Analysis (2009)Improving Movie Gross Predict…Predicting box-office success of motion pictures with neural networks (2005)Predicting box-office success…Predicting Movie Grosses: Winners and Losers, Blockbusters and Sleepers (2000)Predicting Movie Grosses: Win…A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures (1996)A Parsimonious Model for Fore…Movie Box office Prediction via Joint Actor Representations and Social Media Sentiment (2020)Movie Box office Prediction v…Structural Holes (1992)Design Science in Information Systems Research1 (2004)Structural Holes and Good Ideas (2004)Effect of short video ads on sales through social media: the role of advertisement content generators (2021)The economics of movies (revisited): A survey of recent literature (2022)The evolution of social media influence - A literature review and research agenda (2022)Film Critics: Influencers or Predictors? (1997)Information, Blockbusters and Stars? A Study of the Film Industry (1997)Does Hollywood Make Too Many R‐Rated Movies? Risk, Stochastic Dominance, and the Illusion of Expectation (2002)A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth (2006)A Statistical Measure of a Population’s Propensity to Engage in Post-Purchase Online Word-of-Mouth (2010)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting the Future with Social Media (2010)Twitter mood predicts the stock market (2011)A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing (2016)Automated Text Analysis for Consumer Research (2017)Profiling urban vulnerabilities to climate change: An indicator-based vulnerability assessment for European cities (2017)Predicting Success of Theatrical Movies: An Empirical Study (1983)Whose and what chatter matters? The effect of tweets on movie sales (2013)A Coefficient of Agreement for Nominal Scales (1960)Forecasting sales in the supply chain: Consumer analytics in the big data era (2018)Predicting and ranking box office revenue of movies based on big data (2020)Social Theory and Social Structure. (1969)Hedonic Consumption: Emerging Concepts, Methods and Propositions (1982)The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun (1982)Word of Mouth for Movies: Its Dynamics and Impact on Box Office Revenue (2006)Do online reviews matter? — An empirical investigation of panel data (2008)Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics (2010)Stock price reaction to news and no-news: drift and reversal after headlines (2003)Another look at measures of forecast accuracy (2006)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)How does market concern derived from the Internet affect oil prices? (2013)Determinants of motion picture box office and profitability: an interrelationship approach (2007)Understanding preferences for motion pictures (2010)Automobile Prices in Market Equilibrium (1995)Econometric Analysis of Cross Section and Panel Data (2001)The Effect of Word of Mouth on Sales: Online Book Reviews (2006)Ad Revenue and Content Commercialization: Evidence from Blogs (2013)Decomposing the effects of online customer reviews on brand, price, and product attributes (2015)
this work references cited by second hop

References

  • 1996A Parsimonious Model for Forecasting Gross Box-Office Revenues of Motion Pictures477 cited
  • 2005Predicting box-office success of motion pictures with neural networks299 cited
  • 2013Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data286 cited
  • 2016Early Predictions of Movie Success: The Who, What, and When of Profitability183 cited
  • 2013Blogs, Advertising, and Local-Market Movie Box Office Performance153 cited
  • 2000Predicting Movie Grosses: Winners and Losers, Blockbusters and Sleepers152 cited
  • 2009Improving Movie Gross Prediction through News Analysis113 cited
  • 2014Predicting movie Box-office revenues by exploiting large-scale social media content78 cited
  • 2013Prediction of movies box office performance using social media56 cited

Cited by

  • 2020Movie Box office Prediction via Joint Actor Representations and Social Media Sentiment4 cited

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