SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers
Krithika Swaminathan, Bharathi B, Gayathri G L, Hrishik Sampath
Abstract
Over the years, there has been a slow but steady change in the attitude of society towards different kinds of sexuality. However, on social media platforms, where people have the license to be anonymous, toxic comments targeted at homosexuals, transgenders and the LGBTQ+ community are not uncommon. Detection of homophobic comments on social media can be useful in making the internet a safer place for everyone. For this task, we used a combination of word embeddings and SVM Classifiers as well as some BERT-based transformers. We achieved a weighted F1-score of 0.93 on the English dataset, 0.75 on the Tamil dataset and 0.87 on the Tamil-English Code-Mixed dataset.- Anthology ID:
- 2022.ltedi-1.34
- Volume:
- Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Editors:
- Bharathi Raja Chakravarthi, B Bharathi, John P McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
- Venue:
- LTEDI
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 239–244
- Language:
- URL:
- https://aclanthology.org/2022.ltedi-1.34
- DOI:
- 10.18653/v1/2022.ltedi-1.34
- Cite (ACL):
- Krithika Swaminathan, Bharathi B, Gayathri G L, and Hrishik Sampath. 2022. SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 239–244, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- SSNCSE_NLP@LT-EDI-ACL2022: Homophobia/Transphobia Detection in Multiple Languages using SVM Classifiers and BERT-based Transformers (Swaminathan et al., LTEDI 2022)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2022.ltedi-1.34.pdf