Predicting IMDb Rating of Movies by Machine Learning Techniques

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dc.contributor.authorBristi, Warda Ruheen
dc.contributor.authorZaman, Zakia
dc.contributor.authorSultana, Nishat
dc.date.accessioned2021-09-28T09:10:49Z
dc.date.available2021-09-28T09:10:49Z
dc.date.issued2019-12-30
dc.description.abstractFilm Industry is not only a industry or a centre of entertainment, rather it is now a centre of global business. All over the world is now excited about a movie's box office success, popularity etc. A huge data is available online about these movies success or popularity. We have used hollywood movie list from Wikipedia and their rating from IMDb movie rating website to create our data set. Then machine learning classification algorithms are applied of the data set. Lastly an efficient model is developed to predict a movie's IMDb rating. The model gives good classification measures with the data set.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6214
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6214
dc.language.isoen_US
dc.publisher10th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2019, IEEE
dc.sourceDIU Institutional Repository
dc.subjectMotion pictures
dc.subjectMachine learning algorithms
dc.subjectMachine learning
dc.subjectEncyclopedias
dc.subjectElectronic publishing
dc.titlePredicting IMDb Rating of Movies by Machine Learning Techniques
dc.typeArticle

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