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Classifying Portuguese Messages With Traces of Racism on Twitter

Author: SILVA, R. C. C., FERNANDES, D. S. A., FERNANDES, M. G. C.

Abstract:The development of social media and the Internet has given users a platform to express their beliefs and opinions with greater ease and outreach. Some of these opinions may be pejorative and discriminatory towards other users based only on characteristics such as the color of their skin. This article describe a process for the detection of traces of racism in Portuguese language messages on Twitter. It discusses racism in ethical and legal terms for conceptual definition, addresses Sentiment Analysis, its possible approaches and levels of analysis. It characterizes collected data regarding frequency and location. Finally, we discuss the facts perceived during the data collection and classification process.

Keywords: Sentiment Analysis, Racism, Twitter, Machine Learning.

Full paper (in Portuguese)

Full reference: Silva, R. C. C., Fernandes, D. S. A., Fernandes, M. G. C., "Classificação de Mensagens em Língua Portuguesa Com Traços de Racismo No Twitter", Revista de Sistemas de Informação da FSMA n 23(2019) pp. 2-9

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