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Using objective data from movies to predict other movies’ approval rating through Machine Learning
Kristianstad University, Faculty of Natural Sciences.
2021 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Machine Learning is improving at being able to analyze data and find patterns in it, but does machine learning have the capabilities to predict something subjective like a movie’s rating using exclusively objective data such as actors, directors, genres, and their runtime? Previous research has shown the profit and performance of actors on certain genres are somewhat predictable. Other studies have had reasonable results using subjective data such as how many likes the actors and directors have on Facebook or what people say about the movie on Twitter and YouTube. This study presents several machine learning algorithms using data provided by IMDb in order to predict the ratings also provided by IMDb and which features of a movie have the biggest impact on its performance. This study found that almost all conducted algorithms are on average 0.7 stars away from the real rating which might seem quite accurate, but at the same time, 85% of movies have ratings between 5 and 8, which means the importance of the data used seems less relevant.

Place, publisher, year, edition, pages
2021.
Keywords [en]
Machine Learning, Algorithms, Movies, Prediction, Objective data, Subjective data, IMDb
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hkr:diva-22111OAI: oai:DiVA.org:hkr-22111DiVA, id: diva2:1574293
Educational program
Bachelor programme in Computer Science and Engineering
Supervisors
Examiners
Available from: 2021-06-28 Created: 2021-06-28 Last updated: 2021-06-28Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf