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Research Article

A Survey on Book Genre Prediction Methods from Summary

  • Paper ID 426
  • Volume 3, Issue 3
  • Pages 250-253
  • Published Online: May-June 2022
  • 1 Views
Open Access Peer Reviewed

Authors

  • Aditya Krishnan1
  • Alwin Antony2
  • Durga Jayachandran3
  • Shoba T4

1234Computer Science, Adi Shankara Institute of Engineering and Technology, Kerala, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
250-253
Article Type
Research Article
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Abstract

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Abstract: The importance of a book summary is that it gives readers a first impression of the novel. The classification of a book's genre is dependent on its summary, and it is critical in modern systems. Given that comprehensive digitization of books is a prohibitively expensive undertaking. At the same time, 4it is a difficult task because there are many different book genres, and the summary will vary depending on the theme, textual information, and other factors. Even for books in the same genre, the summary may vary depending on many external factors such as country, culture, target reader populations, and so on .In today's generation, text classification is quite crucial. Because the number of digital users is growing every day, its demand is growing as well. As a result, machine learning algorithms are employed to classify specific text input, resulting in more accurate predictions. The genre of a book can be predicted by generating a data set with correct organization and data. The book title and summary will be included in the datasets. The major goal was to use 15machine learning techniques to classify a book by its genre.

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