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Dr. Mohamed Taha Abd El-Fatah Taha Abd Allah :: Publications: |
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| Title: | NAYEL @LT-EDI-ACL2022: Homophobia/Transphobia Detection for Equality, Diversity, and Inclusion using SVM |
| Authors: | Nsrin Ashraf, Mohamed Taha, Ahmed Taha, and Hamada Nayel |
| Year: | 2022 |
| Keywords: | Not Available |
| Journal: | the Second Workshop on Language Technology for Equality, Diversity and Inclusion, Association for Computational Linguistics |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | 287–290 |
| Publisher: | Association for Computational Linguistics |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
Analysing the contents of social media platforms such as YouTube, Facebook and Twitter gained interest due to the vast number of users. One of the important tasks is homophobia/transphobia detection. This paper illustrates the system submitted by our team for the homophobia/transphobia detection in social media comments shared task. A machine learning-based model has been designed and various classification algorithms have been implemented for automatic detection of homophobia in YouTube comments. TF/IDF has been used with a range of bigram model for vectorization of comments. Support Vector Machines has been used to develop the proposed model and our submission reported 0.91, 0.92, 0.88 weighted f1-score for English, Tamil and Tamil-English datasets respectively. |
