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dc.contributor.author |
BOUCHERIT, Oussama |
|
dc.date.accessioned |
2022-01-17T09:54:16Z |
|
dc.date.available |
2022-01-17T09:54:16Z |
|
dc.date.issued |
2021-07 |
|
dc.identifier.uri |
http://dspace.univ-guelma.dz/jspui/handle/123456789/11480 |
|
dc.description.abstract |
This research focuses on the detection of offensive and abusive content in Facebook comments
in Algerian dialect Arabic, we created a corpus from scratch with over 8.7k texts written in both
Arabic and Roman scripts, and annotated with three categories offensive, abusive or normal.
We performed a series of automatic classification tests with state-of-the-art algorithms. In
addition to rule-based classification with an identification algorithm. The results showed an
acceptable performance, but the identification algorithm can still be improved with further
investigation. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Université 8Mai 1945 – Guelma |
en_US |
dc.subject |
Automatic Algerian |
en_US |
dc.title |
Automatic Algerian offensive language detection in social media networks |
en_US |
dc.type |
Working Paper |
en_US |
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