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Josemar Alves Caetano
I am a PhD student in Computer Science at Universidade Federal de Minas Gerais (UFMG). I obtained my M.Sc. in Computer Science from the Pontifical Catholic University of Minas Gerais (PUC Minas) in 2018, and my B.S. degree in Computer Science from the same institution. My research topics are social computing and fake news.
Research Interests
- Social Computing - Fake News - Sentiment Analysis - Data Mining - Complex Networks
Lattes: http://lattes.cnpq.br/5948084145440897
Google Scholar: https://scholar.google.com.br/citations?user=L2M6TrgAAAAJ
Current Research
M.Sc. in Computer Science Research
Sentiment Analysis of Twitter Users Who Publish Texts on Politics Over an Election Period: This is part of my master thesis' research. We are characterizing users' sentiments, mood variation, and language patterns of users that published tweets about 2017 American Presidential Election. I identified four user communities using data mining techniques: Trump's Advocates, Hillary's Advocates, Political Bots and Regular Users.
Characterizing Harmful Speech on WhatsApp Public Groups: We are proposing a process to automatically collect data from WhatsApp public groups to perform harmful speech characterization in the messages.
Characterizing User Communities and their Political Homophily in Twitter during the 2016 American Presidential Election: This is part of my master thesis' research. We are characterizing users communities on Twitter (Trump's Advocates, Hillary's Advocates, Political Bots and Regular Users) and their political homophily in uniplex and multiplex connections networks.
Social Networks
Linkedin: http://linkedin.com/in/josemar-a-caetano-8a0483a3
GitHub: https://github.com/josemarcaetano
Supervised by
