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Chat bot - Coggle Diagram
Chat bot
advantages of using
With the use of chatbots, manpower can be re-allocated to areas of work which cannot be automated.
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Google dialog flow
(1) build, (2)test, (3)launch, (4)improve your chatbox
It uses Natural Language Processing (NLP), which is a branch under AI which we can train computers to understand and process the human language
Entities
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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
Agents
A virtual agent with the mission to handle conversations with your customers. Once a user sends a text message to the Dialogflow agent, Google uses AI to translate the message to structured data with the aid of NLP
Dialogflow agent can handle human language. Dialogflow agent needs to be built and trained to reply to conversations.
how does it work?
A Dialogflow conversation begins from
- end-user expression.
- have its intent matched by the agent with the use of training phrases and entitles.
- before the response is being provided back to the user
Intents
An intent categories the customer's intention for a conversation turn. You can define multiple intents for a single agent, just like how a call center agent can decide if you need basic troubleshooting, make an appointment, or reflect your phone calls based on what you say.