Identifikasi Konten Kasar Pada Tweet Bahasa Indonesia
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 Support Vector Machine with linear kernel as our class...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indonesia Association of Computational Linguistics (INACL)
2019-03-01
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| Series: | Jurnal Linguistik Komputasional |
| Online Access: | http://inacl.id/journal/index.php/jlk/article/view/15 |