Sarcasm Detection on Reddit Using Classical Machine Learning and Feature Engineering
NeutralArtificial Intelligence
- A recent study focused on sarcasm detection in online discussions, specifically on Reddit, utilizing classical machine learning methods and feature engineering without neural networks. The research analyzed a subset of 100,000 comments from the Self-Annotated Reddit Corpus (SARC 2.0) and evaluated four models, with logistic regression and Naive Bayes achieving the highest F1-scores around 0.57 for identifying sarcastic comments.
- This development is significant as it establishes a reproducible baseline for sarcasm detection using lightweight and interpretable methods, which can enhance the understanding of online communication and improve user interaction on platforms like Reddit.
- The study highlights ongoing challenges in natural language processing, particularly in distinguishing sarcasm, which often contradicts literal meanings. This issue is compounded by the limitations of existing datasets and models, emphasizing the need for more sophisticated approaches to language understanding that can bridge the gap between human and AI communication.
— via World Pulse Now AI Editorial System
