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Genre-ous: The Movie Genre Detector

  • Amr Shahin
  • Adam KrzyżakEmail author
Conference paper
  • 223 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1178)

Abstract

The advent of Natural Language Processing (NLP) and deep learning allows us to achieve tasks that sounded impossible 10 years ago. One of those tasks is text genre classification such as movies, books, novels, and various other texts, which, more often than not, belong to one or more genres. The purpose of this research is to classify those texts into their genres while also calculating the weighted presence of this genre in the aforementioned texts. Movies in particular are classified into genres mostly for marketing purposes, and with no indication on which genre predominates. In this paper, we explore the possibility of using deep neural networks and NLP to classify movies using the contents of the movie script. We follow the philosophy that scenes make movies and we generate the final result based on the classification of each individual scene.

Keywords

NLP HAN Genre classification 

Notes

Acknowledgement

We would like to thank Prof. Charalambos Poullis of the Department of Computer Science and Software Engineering, Concordia University for suggesting movie plots as an input to our model which gave us a good basis for comparing the results of two independent models.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and Software EngineeringConcordia UniversityMontréalCanada

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