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GitHub / ZakirCodeArchitect / Flight-Intent-Classifier

This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZakirCodeArchitect%2FFlight-Intent-Classifier

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 12.6 MB
Dependencies parsed at: Pending

Created at: 4 months ago
Updated at: 4 months ago
Pushed at: 4 months ago
Last synced at: 2 months ago

Topics: atis-dataset, deep-neural-networks, intent-classification, neural-network

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