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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, A
(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.
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-...
Item Type: | Conference or Workshop Item (Paper) |
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ISBN: | 9783030223533 (print) 9783030223540 (online) |
Uncontrolled Keywords: | antisocial behavior; online platforms; social media; Twitter; natural language processing; machine learning |
Subjects: | FOR Classification > 0801 Artificial Intelligence and Image Processing Faculty/School/Research Centre/Department > College of Science and Engineering Faculty/School/Research Centre/Department > Institute for Sustainable Industries and Liveable Cities |
SWORD Depositor: | Symplectic Elements |
Depositing User: | Symplectic Elements |
Date Deposited: | 26 Aug 2019 23:46 |
Last Modified: | 26 Aug 2019 23:46 |
URI: | http://vuir.vu.edu.au/id/eprint/39293 |
DOI: | https://doi.org/10.1007/978-3-030-22354-0_43 |
ePrint Statistics: | View download statistics for this item |
Citations in Scopus: | 0 - View on Scopus |
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