Tercet@LT-EDI-2023: Homophobia/Transphobia Detection in social media comment

Shwetha Sureshnathan, Samyuktaa Sivakumar, Priyadharshini Thandavamurthi, Thenmozhi D., Bharathi B, Kiruthika Chandrasekaran

Abstract
The advent of social media platforms has revo- lutionized the way we interact, share, learn , ex- press and build our views and ideas. One major challenge of social media is hate speech. Homo- phobia and transphobia encompasses a range of negative attitudes and feelings towards people based on their sexual orientation or gender iden- tity. Homophobia refers to the fear, hatred, or prejudice against homosexuality, while trans- phobia involves discrimination against trans- gender individuals. Natural Language Process- ing can be used to identify homophobic and transphobic texts and help make social media a safer place. In this paper, we explore us- ing Support Vector Machine , Random Forest Classifier and Bert Model for homophobia and transphobia detection. The best model was a combination of LaBSE and SVM that achieved a weighted F1 score of 0.95.
Anthology ID:
2023.ltedi-1.41
Volume:
Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion
Month:
September
Year:
2023
Address:
Varna, Bulgaria
Editors:
Bharathi R. Chakravarthi, B. Bharathi, Joephine Griffith, Kalika Bali, Paul Buitelaar
Venues:
LTEDI | WS
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
266–271
Language:
URL:
https://aclanthology.org/2023.ltedi-1.41
DOI:
Bibkey:
Cite (ACL):
Shwetha Sureshnathan, Samyuktaa Sivakumar, Priyadharshini Thandavamurthi, Thenmozhi D., Bharathi B, and Kiruthika Chandrasekaran. 2023. Tercet@LT-EDI-2023: Homophobia/Transphobia Detection in social media comment. In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pages 266–271, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
Tercet@LT-EDI-2023: Homophobia/Transphobia Detection in social media comment (Sureshnathan et al., LTEDI-WS 2023)
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https://preview.aclanthology.org/nschneid-patch-1/2023.ltedi-1.41.pdf
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