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Chat Bot - Coggle Diagram
Chat Bot
building a chat bot
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3.Follow-up Intents
adding Intent Name,Training Phrase, and Response
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why use chat bot
With the use of chatbots, manpower can be re-allocated to areas of work which cannot be automated
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Google Dialogflow
Dialogflow uses Natural Language Processing (NLP), which is a branch under artificial intelligence NLP is how we can train computers to understand and process the natural human language.
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
Agents, Intents and Entities in Dialogflow
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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Parameters and entity types are structured data that can help us make better sense of what the user is trying to find out.
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.