Indonesian Online News Comment: Abusive Text Identificationdoi:10.34820/FK2/DQEVRRRoot2022-03-051Romadhony, Ade, 2022, "Indonesian Online News Comment: Abusive Text Identification", https://doi.org/10.34820/FK2/DQEVRR, Root, V1, UNF:6:FL7AmAWefBkzMld2oMk8RA== [fileUNF]Indonesian Online News Comment: Abusive Text Identificationdoi:10.34820/FK2/DQEVRRRomadhony, AdeRootRomadhony, AdeRomadhony, Ade2022-03-04Computer and Information ScienceIndonesian online news comment, abusive text identificationThis 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'CC0 Waiver10.1109/ISRITI48646.2019.9034620Abusive 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. IEEEAbusive Language Detection on Indonesian Online News Comments Dataset .tab31842text/tab-separated-valuesUNF:6:FL7AmAWefBkzMld2oMk8RA==commentUNF:6:jrqa8zKMJ2P8/6w6qcfe7Q==label1.21356783919598053.00.03184.00.58913981964900771.0.1.0UNF:6:9K/TH+rbS8XymiOIA6qvfw==