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International Conference on Dependability and Complex Systems

DepCoS-RELCOMEX 2020: Theory and Applications of Dependable Computer Systems pp 472–481Cite as

Automatic Recognition of Gender and Genre in a Corpus of Microtexts

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1173))

Abstract

In this paper, we focus on author’s gender and writing genre recognition solely on books titles. We analyse data extracted from the bibliography resources of the National Library of Poland. Within a paper, we compare different methods of text (title) representation and classification. It includes word embedding models such as word2vec, ELMo and classification algorithms such as linear models, multilayer perceptron and bidirectional LSTM. It is shown, that the writing genre (for defined 28 classes) could be automatically recognized based only on the book title with accuracy equal to 0.74. The best results were achieved by fastText methods with word n-grams.

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Notes

  1. 1.

    https://www.bn.org.pl/en/catalogues-and-bibliographies.

  2. 2.

    http://data.bn.org.pl/db/bibs-ksiazka.marc.

  3. 3.

    http://hdl.handle.net/11321/606.

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Author information

Authors and Affiliations

  1. Institute of Information and Library Science, University of Wrocław, Wrocław, Poland

    Adam Pawłowski

  2. Faculty of Electronics, Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Walkowiak

Authors
  1. Adam Pawłowski
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  2. Tomasz Walkowiak
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Corresponding author

Correspondence to Tomasz Walkowiak .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Wojciech Zamojski

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Jacek Mazurkiewicz

  3. Wrocław University of Science and Technology, Wrocław, Poland

    Jarosław Sugier

  4. Wrocław University of Science and Technology, Wrocław, Poland

    Tomasz Walkowiak

  5. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

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Pawłowski, A., Walkowiak, T. (2020). Automatic Recognition of Gender and Genre in a Corpus of Microtexts. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_46

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