Deep Learning for Multi-Class Identification from Domestic Violence Online Posts
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Subramani, Sudha 
ORCID: 0000-0002-8102-0278, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996, Du, Jiahua, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Shakeel, H
(2019)
Deep Learning for Multi-Class Identification from Domestic Violence Online Posts.
IEEE Access, 7.
pp. 46210-46224.
ISSN 2169-3536
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| Additional Information | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/38402 |
| DOI | 10.1109/ACCESS.2019.2908827 |
| Official URL | https://ieeexplore.ieee.org/document/8685083 |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | domestic violence crisis support groups; text classification; post collection; data extraction; social media data; multi-class identification |
| Citations in Scopus | 39 - View on Scopus |
| Download/View statistics | View download statistics for this item |
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