Predicting age and gender in online social networks

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 37-44

  Peersman, Claudia ^a   Daelemans, Walter ^a   Van Vaerenbergh, Leona ^b  

^a UNIVERSITY OF ANTWERP   (Belgium)

^b Hogeschool Antwerpen   (Belgium)

Author keywords

age and gender prediction; cyber pedophilia detection; social media; stylometry; text categorization

Indexed keywords

DATA SET SIZE; DATA SIZE; DIGITAL COMMUNITIES; EXPLORATORY STUDIES; LANGUAGE VARIATION; NATURAL LANGUAGE PROCESSING; ONLINE SOCIAL NETWORKS; SHORT MESSAGE; SOCIAL MEDIA; SOCIAL NETWORKING SITES; STYLOMETRY; TEXT ANALYSIS; TEXT CATEGORIZATION; TEXT GENRE; TRUE IDENTITY; USER PROFILE;

COMPUTATIONAL LINGUISTICS; FORECASTING; KNOWLEDGE MANAGEMENT; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL SCIENCES; TEXT PROCESSING;

SOCIAL NETWORKING (ONLINE);

EID: 83255173808     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2065023.2065035     Document Type: Conference Paper

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