Analyzing Twitter data to discover gender biases in Spanish politics
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hdl:2117/121925
CovenanteeUniversitat de Barcelona. Facultat de Matemàtiques i Informàtica; Universitat Rovira i Virgili. Escola Tècnica Superior d'Enginyeria
Document typeMaster thesis
Date2018-06-27
Rights accessOpen Access
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Abstract
This work uses Twitter data from Spanish politicians to discover differences in how men and women speak in politics, as well as differences in how men and women politicians are addressed by others. A tool for automatic detection of hostile answers to politicians is also developed from a labeled set.
SubjectsNatural language processing (Computer science), Artificial intelligence, Social networks, Tractament del llenguatge natural (Informàtica), Intel·ligència artificial, Xarxes socials
DegreeMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2017)
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