Automatic Sarcasm Detection: Approaches & Future Challenges

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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...