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Ade Romadhony Dataverse (Fakultas Informatika, Data Science)
Indonesian Online News Comment: Abusive Text Identification
Version 1.0
Romadhony, Ade, 2022, "Indonesian Online News Comment: Abusive Text Identification", https://doi.org/10.34820/FK2/DQEVRR, Telkom University Dataverse, V1, UNF:6:FL7AmAWefBkzMld2oMk8RA== [fileUNF]
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105 Downloads
Description
This dataset consists of comments that are in some of the top news stories in 2019. comments obtained from the kompas, kaskus, and detik. The labeling process is carried out by 10 people and each comment was labeled by 3 annotators. Each comment is labeled with: 1: 'not abusive' 2: 'abusive but not offensive' 3: 'abusive and offensive'
Subject Computer and Information Science
Keyword Indonesian online news comment, abusive text identification
Related Publication Abusive language detection on Indonesian online news comments. Desrul, Dhamir Raniah Kiasati and Romadhony, Ade. 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). 2019. IEEE doi: 10.1109/ISRITI48646.2019.9034620
1 File
Abusive Language Detection on Indonesian Online News Comments Dataset .tab
Tabular Data - 419.6 KB - Mar 5, 2022 - 105 Downloads
2 Variables, 3184 Observations - UNF:6:FL7AmAWefBkzMld2oMk8RA==
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