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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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How to script a chat bot?

  1. Outline your customer journey.
  2. Identify your goals.
  3. Use the right language for emotional appeal.
  4. Focus on brevity.
  5. Add a personal touch at the end.
  6. Monitor the effectiveness of each chatbot message and modify them regularly.

The key is to prepare a diverse set of user inputs and match them to the pre-defined intents and entities. NLP chatbots have redefined the landscape of customer conversations due to their ability to comprehend natural language. NLP conversational AI refers to the integration of NLP technologies into conversational AI systems.

Natural conversations are indistinguishable from human ones using natural language processing and machine learning. Chatbots, though they have been in the IT world for quite some time, are still a hot topic. 34% of all consumers see chatbots helping in finding human service assistance. 84% of consumers admit to natural language processing at home, and 27% said they use NLP at work. Building a chatbot involves defining intents, creating responses, configuring actions and domain, training the chatbot, and interacting with it through the Rasa shell. The guide illustrates a step-by-step process to ensure a clear understanding of the chatbot creation workflow.

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