Intent classification with rasa-nlu #54
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satyammittal
reviewed
May 1, 2020
| engine.runAndWait() | ||
| intent = intentClassifier.intent_identifier(translate) | ||
| print("Intent:", intent) | ||
| intent_rasa = interpreter.parse(translate) |
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I don't see any use of this variable. Can we try replace intent with intent_rasa and check how better it is detecting. I would also like to see accuracy % in pr description.
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Hello, the rasa model is trained on data in nlu.md. We can customise it as per the needs of the chatbot. I will have to prepare a test dataset and calculate the accuracy. I will do that for both the bayesian model and the rasa toolkit and will update you with the accuracy of both. Thank you! |
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I have added the model, dataset and the other files required for training the model.