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Reading Book by the Cover—Book Genre Detection Using Short Descriptions

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Man-Machine Interactions 5 (ICMMI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 659))

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Abstract

The paper is devoted to the issue of short text classification, working on free textual descriptions of books, gathered by crawling the GoodReads portal. Those descriptions are short, often incomplete, and highly biased towards the genre of their respective books, so that establishing a notion of proximity between such texts is a challenging task. Each book was assigned multiple categories from the total number of 506 categories, which makes the problem of genre distribution statistically significant. In addition, the number of the descriptions varies from genre to genre, causing the data to be imbalanced. In order to choose the best text classification method for this specific task, we examine different methods, including baseline naive Bayes models and semantic enrichment methods consuming neural-based distributional models. The algorithms have been evaluated in terms of the classification quality on the unique data set of almost two hundred thousands book descriptions.

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Notes

  1. 1.

    https://www.goodreads.com/.

  2. 2.

    https://code.google.com/p/word2vec/.

  3. 3.

    https://www.goodreads.com/.

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Author information

Authors and Affiliations

  1. National Information Processing Institute, Warsaw, Poland

    Antoni Sobkowicz & Marek Kozłowski

  2. Warsaw University of Technology, Warsaw, Poland

    Przemysław Buczkowski

Authors
  1. Antoni Sobkowicz
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  2. Marek Kozłowski
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  3. Przemysław Buczkowski
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Corresponding author

Correspondence to Antoni Sobkowicz .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Aleksandra Gruca

  2. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Tadeusz Czachórski

  3. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Katarzyna Harezlak

  4. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  5. Institute of Informatics, Silesian University of Technology, Gliwice, Poland

    Agnieszka Piotrowska

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Sobkowicz, A., Kozłowski, M., Buczkowski, P. (2018). Reading Book by the Cover—Book Genre Detection Using Short Descriptions. In: Gruca, A., Czachórski, T., Harezlak, K., Kozielski, S., Piotrowska, A. (eds) Man-Machine Interactions 5. ICMMI 2017. Advances in Intelligent Systems and Computing, vol 659. Springer, Cham. https://doi.org/10.1007/978-3-319-67792-7_43

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  • DOI: https://doi.org/10.1007/978-3-319-67792-7_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67791-0

  • Online ISBN: 978-3-319-67792-7

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