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Advanced Computing and Systems for Security pp 167–177Cite as

Genre Fraction Detection of a Movie Using Text Mining

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. National Institute of Technology Patna, Patna, Bihar, India

    Sunil Saumya, Jitendra Kumar & Jyoti Prakash Singh

Authors
  1. Sunil Saumya
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  2. Jitendra Kumar
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  3. Jyoti Prakash Singh
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Corresponding author

Correspondence to Sunil Saumya .

Editor information

Editors and Affiliations

  1. A. K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari, Venice, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Saumya, S., Kumar, J., Singh, J.P. (2018). Genre Fraction Detection of a Movie Using Text Mining. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 666. Springer, Singapore. https://doi.org/10.1007/978-981-10-8180-4_11

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  • DOI: https://doi.org/10.1007/978-981-10-8180-4_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8179-8

  • Online ISBN: 978-981-10-8180-4

  • eBook Packages: EngineeringEngineering (R0)

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