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Chatbot📞 - Coggle Diagram
Chatbot📞
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More Info
Virtual Agent
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Once a user sends a text message to the Dialogflow agent, Google uses artificial intelligence to translate the message into structured data with the aid of NLP.
need to be trained to handle conversational scenarios. Training does not need to be overly explicit.
Intent
Customers reach out to chatbot agent to acquire certain information. Two different customers may ask the same thing differently, but their intent is the same.
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Dialogflow matches the end-user expression to the best intent in your agent. Matching an intent is also known as intent classification.
Entity
When an intent is matched, Dialogflow can extract specific information from the end-user expression.
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Google Dialogflow
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Advantages
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Dialogflow requires minimal coding and is suitable for anyone who can effectively use a computer and web broswer
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Dialogflow is powered by Google's machine learning and has the cognitive ability to understand and reply in the natural language
How Dialogflow works
A Dialogflow conversation begins from the (1) end-user expression, have (2) its intent matched by the agent with the use of training phrases and entities, before (3) response is being provided back to the user.