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films

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[Tokenization, Topic Modeling, Sentiment Analysis, Network of Bigrams] The purpose of this project is to see if text mining techniques can ease better analysis for categorizing movies with just the Descriptions while ignoring the Genre from the dataset, IMDB_movies.csv, which is stored under the data frame variable, movies_desc. Tokenization (TF…

  • Updated Oct 29, 2022
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The project creates a data analysis with R programming to determine if a film's IMDB ratings, directors, actors, genres, metascores, runtimes, and revenue affect the success of a movie and create bias reviews. The project further explores how IMDB ratings and metascores affect and correlate with each other. The raw dataset, IMDB_movies.csv, was …

  • Updated Oct 29, 2022
  • HTML

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