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Home » Chat Bot using Python, Machine Learning, NLP, Keras and NLTK

Chat Bot using Python, Machine Learning, NLP, Keras and NLTK

Asep Budi by Asep Budi
20 Juni 2024
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Step 2 : Train your AI assistant

One of its key benefits lies in enabling users to interact with AI systems without necessitating knowledge of programming languages like Python or Java. Traditional text-based chatbots learn keyword questions and the answers related to them — this is great for simple queries. However, keyword-led chatbots can’t respond to questions they’re not programmed for.

Now when the chatbot is ready to generate a response, you should consider integrating it with external systems. Once integrated, you can test the bot to evaluate its performance and identify issues. Well, it has to do with the use of NLP – a truly revolutionary technology that has changed the landscape of chatbots. Dialogflow offers a free trial without any charges and integrates a conversational user interface into your mobile app, web application, device, bot, or interactive voice response system.

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