Marcelo Dias
Marcelo Dias
Instituto Federal de Educação, Ciência e Tecnologia Sul-Rio-Grandense (IFSUL)
Verified email at ifsul.edu.br
Title
Cited by
Cited by
Year
Inf-ufrgs-opinion-mining at semeval-2016 task 6: Automatic generation of a training corpus for unsupervised identification of stance in tweets
M Dias, K Becker
Proceedings of the 10th International Workshop on Semantic Evaluation …, 2016
252016
Detecção semi-supervisionada de posicionamento em tweets baseada em regras de sentimento.
M Dias, K Becker
SBBD, 40-51, 2016
42016
Identificação de Candidatos à Fiscalização por Evasão do Tributo ISS
M Dias, K Becker
5th Symposium on Knowledge Discovery, Mining and Learning, Uberlândia, MG, D3, 2017
32017
An heuristics-based, weakly-supervised approach for classification of stance in tweets
M Dias, K Becker
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 73-80, 2016
32016
INF-UFRGS at SemEval-2017 Task 5: A Supervised Identification of Sentiment Score in Tweets and Headlines
T Zini, K Becker, M Dias
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
22017
Combining compact news representations generated using DistilBERT and topological features to classify fake news
CAC Sáenz, M Dias, K Becker
Anais do VIII Symposium on Knowledge Discovery, Mining and Learning, 209-216, 2020
12020
Assessing the combination of DistilBERT news representations and diffusion topological features to classify fake news
CAC Sáenz, M Dias, K Becker
2021
Detecção não supervisionada de posicionamento em textos de tweets
M Dias
Universidade Federal do Rio Grande do Sul, 2017
2017
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