In:Language and Text: Data, models, information and applications
Edited by Adam Pawłowski, Jan Mačutek, Sheila Embleton and George Mikros
[Current Issues in Linguistic Theory 356] 2021
► pp. 225–238
Book genre and author’s gender recognition based on titles
The example of the bibliographic corpus of microtexts
Published online: 22 December 2021
https://doi.org/10.1075/cilt.356.15paw
https://doi.org/10.1075/cilt.356.15paw
Abstract
The subject of this chapter is the application of automatic taxonomy methods to the corpus of microtexts, consisting of book titles. We test two hypotheses. The first one claims that simply on the basis of a book title one can automatically recognize its genre (writing species). The second assumes the possibility of recognizing the author’s gender on the basis of the book’s title. FastText and word2vec methods were applied. The analyses give a positive (and rather astonishing) result: with properly chosen n-grams more than 70% of titles could be correctly assigned a writing species, while the accuracy of the gender recognition of the author was almost 80%. Both values significantly exceed the levels of random recognition. The research was conducted on the corpus of titles derived from the Polish national bibliography.
Article outline
- 1.The problem
- 2.Data and research hypotheses
- 3.Methodology
- 4.Experiments and results
- 4.1Recognizing the literary genre of the text
- 4.2Automatic recognition of the author’s gender
- 5.Conclusions
Notes References
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