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A Framework for Early Detection of Antisocial Behavior on Twitter Using Natural Language Processing

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.

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Item Type: Conference or Workshop Item (Paper)
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
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Citations in Scopus: 0 - View on Scopus

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