Automatic Sarcasm Detection: Approaches & Future Challenges

Explore the theory and methodologies behind Automatic Sarcasm Detection, covering the background, types of sarcasm, challenges, and theoretical frameworks. Delve into datasets, evaluation metrics, and various detection approaches like rule-based, statistical, and machine learning. Discover emerging trends such as contextual roles and challenges like skewed datasets. Conclude with a summary of findings and future research directions. This comprehensive study encompasses the essence of sarcasm...