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Conference Papers Year : 2013

Automatic detection of gender on the blogs

Abstract

In this paper, we are interested in defining the gender of blogger while using only texts written from bloggers. For that purpose, we offer a number of features based on specific words, which were categorized into classes. For each blog, a score is calculated based on these characteristics, thereby determining the gender of its author. The evaluation was made on a corpus of 681,288 Blogs (140 million words) tagged as men or women. In our work, this collection will be taken as a reference. The obtained results show gender detection over 82% compared to the referenced collection.
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Dates and versions

hal-01178574 , version 1 (20-07-2015)

Identifiers

  • HAL Id : hal-01178574 , version 1
  • OATAO : 13020

Cite

Faiza Belbachir, Khadidja Henni, Lynda Zaoui. Automatic detection of gender on the blogs. 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2013), May 2013, Ifrane, Morocco. pp. 1-4. ⟨hal-01178574⟩
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