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https://github.com/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.
https://github.com/zakircodearchitect/flight-intent-classifier
atis-dataset deep-neural-networks intent-classification neural-network
Last synced: 11 days ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/zakircodearchitect/flight-intent-classifier
- Owner: ZakirCodeArchitect
- Created: 2024-12-28T15:11:13.000Z (11 days ago)
- Default Branch: main
- Last Pushed: 2024-12-28T15:40:11.000Z (11 days ago)
- Last Synced: 2024-12-28T16:29:11.132Z (11 days ago)
- Topics: atis-dataset, deep-neural-networks, intent-classification, neural-network
- Language: Jupyter Notebook
- Homepage:
- Size: 2.88 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0