Abstract
The proliferation of Hate Speech and misinformation in social media is fast becoming a menace to society. In compliment, the dissemination of hate-diffusing, promising and anti-oppressive messages become a unique alternative. Unfortunately, due to its complex nature as well as the relatively limited manifestation in comparison to hostile and neutral content, the identification of Hope Speech becomes a challenge. This work revolves around the detection of Hope Speech in Youtube comments, for the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion. We achieve an f-score of 0.93, ranking 1st on the leaderboard for English comments.- Anthology ID:
- 2021.ltedi-1.24
- Volume:
- Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion
- Month:
- April
- Year:
- 2021
- Address:
- Kyiv
- Editors:
- Bharathi Raja Chakravarthi, John P. McCrae, Manel Zarrouk, Kalika Bali, Paul Buitelaar
- Venue:
- LTEDI
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 164–167
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2021.ltedi-1.24/
- DOI:
- Cite (ACL):
- Vasudev Awatramani. 2021. Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section. In Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion, pages 164–167, Kyiv. Association for Computational Linguistics.
- Cite (Informal):
- Hopeful NLP@LT-EDI-EACL2021: Finding Hope in YouTube Comment Section (Awatramani, LTEDI 2021)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2021.ltedi-1.24.pdf
- Data
- HopeEDI