Predict Upcoming Movie Rating Using IMDB Dataset
Ifatullah, G. K. M
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Predicting a movie’s box office and viewer’s expectation success is a crucial issue since it does not always depend on its nature and condition only. External component such as competing movies of release date, time, occasion & festival of the year, weather and even political situation influence the success as these component impact the box office sales for the moving opening sales. Essentially, it is a venture whether a movie will be a success or failure. Our objective is to build the application to solve this problem by reducing the number of movies those lose money domestically and internationally. Our application desire to bring to light attractive delightful and entertaining, pairs of attributes that will fare well at the box office such as unique actor, actress, director and writer combinations. Our initial step for this project was to prevent studios, producers from making bad, rotten and unprofitable movies. Making use of our application, studios will be able to look into what virtue and characteristic make a successful movie before production begins. Another possible application is to advice investor make judgement on whether cast combination of the movie will be good or bad and profitable or not.
- M.Sc Thesis/Project