Prediction of a movie’s box office using pre-release data

dc.contributor.advisorSharma, Rajesh, juhendaja
dc.contributor.authorBondarenko, Stanislav
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-11-09T14:15:43Z
dc.date.available2023-11-09T14:15:43Z
dc.date.issued2020
dc.description.abstractIt’s difficult to overestimate the impact of the film industry in our lives, it expands our knowledge about the world and culture and entertains. Going to the cinema has become an important leisure activity. Moreover, the total worldwide box office in 2018 hit a significant amount of $41B. This is not surprising as only in 2018 there were released 11,911 feature-length films worldwide. The box office generated from cinema ticket sales is the main source of profit for widely released movies. However, not all movies are successful in terms of profit when the cost of production is compared with the total box office. 78% of movies released worldwide are not profitable and 35% of profitable movies earn 80% of the total profit. Seeing the importance of theatrical screenplays and tough competition for the profit made, we want to be able to predict how successful a movie is going to be and whether it is worth taking the risk of investment. Only pre-release available data is used to be able to make a prediction at the earliest stages. We went through several stages typical for data mining and machine learning to obtain possibly the biggest and feature-rich dataset used in box office gross prediction. We use neural networks and gradient boosting machines to be able to predict the absolute box office gross, predict within which range it is likely to be, and whether a movie will be profitable, and the results obtained are very competitive in the domain.et
dc.identifier.urihttps://hdl.handle.net/10062/94158
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectRegressionet
dc.subjectClassificationet
dc.subjectMotion pictureset
dc.subjectBox officeet
dc.subjectNeural networkset
dc.subjectLightGBMet
dc.subject.othermagistritöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titlePrediction of a movie’s box office using pre-release dataet
dc.typeThesiset

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