Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter
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Singh, Ravinder, Subramani, Sudha 
ORCID: https://orcid.org/0000-0002-8102-0278, Du, Jiahua, Zhang, Yanchun ORCID: https://orcid.org/0000-0002-5094-5980, Wang, Hua ORCID: https://orcid.org/0000-0002-8465-0996, Ahmed, Khandakar ORCID: https://orcid.org/0000-0003-1043-2029 and Chen, Zhenxiang ORCID: https://orcid.org/0000-0002-4948-3803
(2020)
Deep Learning for Multi-Class Antisocial Behavior Identification From Twitter.
IEEE Access, 8.
pp. 194027-194044.
ISSN 2169-3536
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/41846 |
| DOI | 10.1109/ACCESS.2020.3030621 |
| Official URL | https://ieeexplore.ieee.org/document/9222124 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | deep learning, Recurrent Neural Network , Convolutional Neural Networks, architectures, word embeddings of text data, gold standard data set, visualization, personality disorder, online antisocial behaviour |
| Citations in Scopus | 5 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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