Sarcasm Detection in Telugu Language Text Using Distinct Machine Learning Classification Algorithms
Sarcasm detection is a growing field in Natural Language Processing (NLP).Sarcasm is identified using positive or more increased positive words, often with a negative connotation, to insult or mock others.In sentiment analysis, detecting sarcasm in the text has become critical.They reviewed numerous relevant research articles, but due to the telugu language's limited resources, detecting sarcasm in telugu language texts remains challenging.As a result, the sentiment detection model struggles to accurately identify the exact sentiment of a sarcastic statement, necessitating the development of an automated sarcasm detection system.Many researchers have trained and tested various machine learning classification algorithms to identify sarcasm, but these algorithms require a dataset as input, which often contains noise.
Authors
- B. RaviKiran
- Srinivasu Badugu (ORCID: https://orcid.org/0000-0002-7100-0601)
Publication Details
- Journal
- International Journal of Computer Applications
- Published
- 2024-09-30
- DOI
- https://doi.org/10.5120/ijca2024924040
- Citations
- 1
- Primary Topic
- Hate Speech and Cyberbullying Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35