Mohsen-29/Bilstm-for-customer-support-intent-detection

This project aimed to build a customer support intent detection system using a bidirectional LSTM model, trained on customer support chat logs and their corresponding intents. The model accurately classified new logs into 27 intent categories, showing effectiveness in deep learning for natural language processing.

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