Abstract
This system paper is a description of the system submitted to ”SemEval-2019 Task 5” Task B for the English language, where we had to primarily detect hate speech and then detect aggressive behaviour and its target audience in Twitter. There were two specific target audiences, immigrants and women. The language of the tweets was English. We were required to first detect whether a tweet is containing hate speech. Thereafter we were required to find whether the tweet was showing aggressive behaviour, and then we had to find whether the targeted audience was an individual or a group of people.- Anthology ID:
- S19-2088
- Volume:
- Proceedings of the 13th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2019
- Address:
- Minneapolis, Minnesota, USA
- Editors:
- Jonathan May, Ekaterina Shutova, Aurelie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif M. Mohammad
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 494–497
- Language:
- URL:
- https://aclanthology.org/S19-2088
- DOI:
- 10.18653/v1/S19-2088
- Cite (ACL):
- Avishek Garain and Arpan Basu. 2019. The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 494–497, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- The Titans at SemEval-2019 Task 5: Detection of hate speech against immigrants and women in Twitter (Garain & Basu, SemEval 2019)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/S19-2088.pdf