A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing
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Singh, Ravinder, Du, Jiahua, Zhang, Yanchun 
ORCID: 0000-0002-5094-5980, Wang, Hua ORCID: 0000-0002-8465-0996, Miao, Yuan, Ameri Sianaki, Omid ORCID: 0000-0001-8289-3452 and Ulhaq, Anwaar ORCID: 0000-0002-5145-7276
(2019)
A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing.
In: 13th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2019), 3 July 2019-5 July 2019, Sydney, NSW.
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| Item type | Conference or Workshop Item (Paper) |
| URI | https://vuir.vu.edu.au/id/eprint/39293 |
| DOI | 10.1007/978-3-030-22354-0_43 |
| Official URL | https://link.springer.com/chapter/10.1007%2F978-3-... |
| ISBN | 9783030223533 (print) 9783030223540 (online) |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > College of Science and Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | antisocial behavior; online platforms; social media; Twitter; natural language processing; machine learning |
| Citations in Scopus | 8 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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