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Automatic detection of gender on the blogs

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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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)
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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