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Publikováno v:
Jurnal Linguistik Komputasional, Vol 2, Iss 1, Pp 1-5 (2019)
This study aims to identify tweets containing abusive or offensive content. To do this, we performed five steps, such as, data collection, preprocessing, feature extraction, classification, and evaluation. We employed Multinomial Naïve Bayes and Sup
Externí odkaz:
https://doaj.org/article/7b3dbf19cbf64e74a12d85b205cc78de