Inferring gender from the content of tweets: A region specific example

ICWSM 2012 - Proceedings of the 6th International AAAI Conference on Weblogs and Social Media

Volumn , Issue , 2012, Pages 459-462

  Fink, Clay ^a   Kopecky, Jonathon ^a   Morawski, Maksym ^b  

^a JOHNS HOPKINS UNIVERSITY APPLIED PHYSICS LABORATORY   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICAN NATIONS; AUTOMATED METHODS; DEVELOPING WORLD; REAL-TIME DATA; SOCIAL MEDIA; SOCIAL NETWORKING SITES; SUPERVISED MACHINE LEARNING; WEIGHTED FEATURES;

DEVELOPING COUNTRIES; SOCIAL SCIENCES;

SOCIAL NETWORKING (ONLINE);

EID: 84890636079     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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8. Rao, D., Fink, C., & Oates, T. (2011). Hierarchical Bayesian Models for Latent Attribute Detection in Social Media. In In Proceedings of the 5th International Conference in Weblogs and Social Media. Menlo Park, CA: AAAI.