A Hybrid Framework for Sarcasm Detection Using ‎CB Technique

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This model improves sarcasm detection in text reviews, achieving a high F-score of 95%, indicating better accuracy over traditional methods.

Sarcasm detection can enhance sentiment analysis, improving understanding of user opinions in feedback.
The hybrid CB technique combines convolutional neural networks and transformers for superior performance.
An F-score of 95% indicates high accuracy in detecting sarcasm from text reviews.
Natural language processing tools are valuable for businesses to interpret customer sentiment effectively.

Parkar et al. (2025) studied this question.

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This model improves sarcasm detection in text reviews, achieving a high F-score of 95%, indicating better accuracy over traditional methods.