How can we enhance the filters in our chatbot?
Improving chatbot filters can involve refining keyword recognition, implementing machine learning, and user feedback.
What specific techniques can we use for keyword recognition?
You can use natural language processing (NLP) techniques like tokenization, stemming, and lemmatization to improve keyword recognition.
How can user feedback be integrated into the filtering process?
User feedback can be collected through surveys or direct interactions, and then analyzed to adjust the filters accordingly.
Are there any tools that can help with this?
Yes, tools like Dialogflow, Rasa, and Microsoft Bot Framework offer features to enhance chatbot filtering capabilities.
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