Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction
Abhinav Reddy Appidi, Vamshi Krishna Srirangam, Darsi Suhas, Manish Shrivastava
Abstract
Emotion prediction is a critical task in the field of Natural Language Processing (NLP). There has been a significant amount of work done in emotion prediction for resource-rich languages. There has been work done on code-mixed social media corpus but not on emotion prediction of Kannada-English code-mixed Twitter data. In this paper, we analyze the problem of emotion prediction on corpus obtained from code-mixed Kannada-English extracted from Twitter annotated with their respective ‘Emotion’ for each tweet. We experimented with machine learning prediction models using features like Character N-Grams, Word N-Grams, Repetitive characters, and others on SVM and LSTM on our corpus, which resulted in an accuracy of 30% and 32% respectively.- Anthology ID:
- 2020.coling-main.587
- Volume:
- Proceedings of the 28th International Conference on Computational Linguistics
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 6703–6709
- Language:
- URL:
- https://aclanthology.org/2020.coling-main.587
- DOI:
- 10.18653/v1/2020.coling-main.587
- Cite (ACL):
- Abhinav Reddy Appidi, Vamshi Krishna Srirangam, Darsi Suhas, and Manish Shrivastava. 2020. Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction. In Proceedings of the 28th International Conference on Computational Linguistics, pages 6703–6709, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- Creation of Corpus and analysis in Code-Mixed Kannada-English Twitter data for Emotion Prediction (Appidi et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/paclic-22-ingestion/2020.coling-main.587.pdf