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The aim is to develop a technique for automatic sarcasm recognition in social media text.

December 8, 2025Scientific ReportsOpen Access

Self-attention bidirectional long Short-Term memory assisted natural language processing on sarcasm detection and classification in social media platforms

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This work demonstrates sarcasm classification in social media using deep learning, suggesting improvements in natural language processing.

The aim is to develop a technique for automatic sarcasm recognition in social media text.
Technique development for sarcasm classification
Data preprocessing including Word2Vec word-embedding
Utilization of deep learning and machine learning models
Implementation of the SDCNLP-SM model
Achieved 94.45% accuracy on sarcasm detection
Demonstrated superior performance compared to existing models

Shouki A. Ebad (2025) studied this question.

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This work demonstrates sarcasm classification in social media using deep learning, suggesting improvements in natural language processing.