Genre Fraction Detection of a Movie Using Text Mining

  • Sunil Saumya
  • Jitendra Kumar
  • Jyoti Prakash Singh
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 666)

Abstract

Movie genre plays a significant role in recommendation system as everyone has a liking for movies of specific genres. Nowadays, a Wikipedia (or wiki) page or plot for each movie is maintained on the Web. In this chapter, we propose to use the Wikipedia movie plot for genre fraction detection using text mining techniques. For our purpose, we use the bag-of-words model as topic modeling where the (frequency of) occurrence of each word is used as a feature for training a classifier. We create the corpus for 20 genres with word frequencies 1, 5, and 15 separately. Wikipedia movie plot of 640 movies is used to evaluate the proposed system. A total of 540 movie plots are used for creating corpuses, and the rest 100 are used as a test set. The system performs best on refined corpus with word frequency 15.

Keywords

Bag of words Recommendation system Movie genre Wikipedia movie plot Corpus 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Sunil Saumya
    • 1
  • Jitendra Kumar
    • 1
  • Jyoti Prakash Singh
    • 1
  1. 1.National Institute of Technology PatnaPatnaIndia

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