Detecting portuguese and english Twitter users’ gender

Existing social networking services provide means for people to communicate and express their feelings in a easy way. Such user generated content contains clues of user’s behaviors and preferences, as well as other metadata information that is now available for scientific research. Twitter, in parti...

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Bibliographic Details
Main Author: Vicente, Marco Paulo Fernandes (author)
Format: masterThesis
Language:eng
Published: 2016
Subjects:
Text mining
Gender classification
Twitter user
Feature selection
Text classification
Mineração de texto
Classificação de género
Utilizador Twitter
Selecção de atributos
Classificação de texto
Online Access:http://hdl.handle.net/10071/11050
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/11050

Internet

http://hdl.handle.net/10071/11050

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