predictive model for detecting sarcasm in text passages by combining affective and contextual features. – Leveraged Bi-LSTM model with multi-head attention and EAISe model to capture affective features and Integrated BERT-based Sentence Transformer for contextual embeddings. This innovative fusion led to precisely detect sarcasm
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predictive model for detecting sarcasm in text passages by combining affective and contextual features. – Leveraged Bi-LSTM model with multi-head attention and EAISe model to capture affective features and Integrated BERT-based Sentence Transformer for contextual embeddings. This innovative fusion led to precisely detect sarcasm
LokeshNahar/ACE_for_Sarcasm_detection
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predictive model for detecting sarcasm in text passages by combining affective and contextual features. – Leveraged Bi-LSTM model with multi-head attention and EAISe model to capture affective features and Integrated BERT-based Sentence Transformer for contextual embeddings. This innovative fusion led to precisely detect sarcasm
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