bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media
Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula, Maheswara Reddy Chennuru
Abstract
This paper describes the work that our team bhanodaig did at Indian Institute of Technology (ISM) towards OffensEval i.e. identifying and categorizing offensive language in social media. Out of three sub-tasks, we have participated in sub-task B: automatic categorization of offensive types. We perform the task of categorizing offensive language, whether the tweet is targeted insult or untargeted. We use Linear Support Vector Machine for classification. The official ranking metric is macro-averaged F1. Our system gets the score 0.5282 with accuracy 0.8792. However, as new entrant to the field, our scores are encouraging enough to work for better results in future.- Anthology ID:
- S19-2098
- 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:
- 547–550
- Language:
- URL:
- https://aclanthology.org/S19-2098
- DOI:
- 10.18653/v1/S19-2098
- Cite (ACL):
- Ritesh Kumar, Guggilla Bhanodai, Rajendra Pamula, and Maheswara Reddy Chennuru. 2019. bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 547–550, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
- Cite (Informal):
- bhanodaig at SemEval-2019 Task 6: Categorizing Offensive Language in social media (Kumar et al., SemEval 2019)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/S19-2098.pdf