Abstract
In this paper we work with a hope speech detection corpora that includes English, Tamil, and Malayalam datasets. We present a two phase mechanism to detect hope speech. In the first phase we build a classifier to identify the language of the text. In the second phase, we build a classifier to detect hope speech, non hope speech, or not lang labels. Experimental results show that hope speech detection is challenging and there is scope for improvement.- Anthology ID:
- 2021.ltedi-1.9
- 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:
- 73–78
- Language:
- URL:
- https://aclanthology.org/2021.ltedi-1.9
- DOI:
- Cite (ACL):
- Dhivya Chinnappa. 2021. dhivya-hope-detection@LT-EDI-EACL2021: Multilingual Hope Speech Detection for Code-mixed and Transliterated Texts. In Proceedings of the First Workshop on Language Technology for Equality, Diversity and Inclusion, pages 73–78, Kyiv. Association for Computational Linguistics.
- Cite (Informal):
- dhivya-hope-detection@LT-EDI-EACL2021: Multilingual Hope Speech Detection for Code-mixed and Transliterated Texts (Chinnappa, LTEDI 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.ltedi-1.9.pdf