Volume 12, Issue 4 (3-2016)                   JSDP 2016, 12(4): 83-94 | Back to browse issues page

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automatic gender identification in persian text. JSDP 2016; 12 (4) :83-94
URL: http://jsdp.rcisp.ac.ir/article-1-104-en.html
Abstract:   (8116 Views)

Gigantic amount of textual data being transfers in web everyday. like other communities,cyberspace is vulnerable to attacks, false information and deception.it becomes increasingly important to design an efficient method to trace identity in this community.to investigate the problem of gender identification,we propose 48 feature,and design three machine learning algorithms.the results of study showed that ADtree classifier had accuracy up to 73.8%.

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Type of Study: Research | Subject: Paper
Received: 2013/06/7 | Accepted: 2014/01/26 | Published: 2016/03/14 | ePublished: 2016/03/14

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