How do I train an intent recognition model?
To train an intent recognition model, you need a labeled dataset with user intents and corresponding examples.
What kind of data do I need for this?
You need a collection of user queries labeled with their respective intents, like 'book a flight' or 'check weather'.
Are there any specific algorithms I should use?
Common algorithms include Support Vector Machines, Decision Trees, and neural networks, depending on your data size.
How do I evaluate the model's performance?
You can use metrics like accuracy, precision, recall, and F1 score on a validation dataset to evaluate performance.
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