Belbachir, Faiza and Henni, Khadidja and Zaoui, Lynda
Automatic detection of gender on the blogs.
(2013)
In: 10th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2013), 27 May 2013 - 30 May 2013 (Ifrane, Morocco).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 88kB |
Official URL: http://dx.doi.org/10.1109/AICCSA.2013.6616510
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.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org The original PDF of the article can be found at : http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6616510 |
HAL Id: | hal-01178574 |
Audience (conference): | International conference proceedings |
Uncontrolled Keywords: | |
Institution: | French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Other partners > Université des Sciences et de la Technologie Mohamed Boudiaf d'Oran - USTO (ALGERIA) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) |
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Deposited On: | 24 Jun 2015 14:59 |
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