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.

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Item type Conference or Workshop Item (Paper)
URI https://vuir.vu.edu.au/id/eprint/39293
DOI https://doi.org/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 Current > 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 2 - View on Scopus
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