USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu
Joint Authors
Haq, Nauman Ul
Ullah, Mohib
Khan, Rafiullah
Ahmad, Arshad
Almogren, Ahmad
Hayat, Bashir
Shafi, Bushra
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The use of slang, abusive, and offensive language has become common practice on social media.
Even though social media companies have censorship polices for slang, abusive, vulgar, and offensive language, due to limited resources and research in the automatic detection of abusive language mechanisms other than English, this condemnable act is still practiced.
This study proposes USAD (Urdu Slang and Abusive words Detection), a lexicon-based intelligent framework to detect abusive and slang words in Perso-Arabic-scripted Urdu Tweets.
Furthermore, due to the nonavailability of the standard dataset, we also design and annotate a dataset of abusive, offensive, and slang word Perso-Arabic-scripted Urdu as our second significant contribution for future research.
The results show that our proposed USAD model can identify 72.6% correctly as abusive or nonabusive Tweet.
Additionally, we have also identified some key factors that can help the researchers improve their abusive language detection models.
American Psychological Association (APA)
Haq, Nauman Ul& Ullah, Mohib& Khan, Rafiullah& Ahmad, Arshad& Almogren, Ahmad& Hayat, Bashir…[et al.]. 2020. USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu. Complexity،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1143232
Modern Language Association (MLA)
Haq, Nauman Ul…[et al.]. USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu. Complexity No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1143232
American Medical Association (AMA)
Haq, Nauman Ul& Ullah, Mohib& Khan, Rafiullah& Ahmad, Arshad& Almogren, Ahmad& Hayat, Bashir…[et al.]. USAD: An Intelligent System for Slang and Abusive Text Detection in PERSO-Arabic-Scripted Urdu. Complexity. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1143232
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143232