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Chatbots - Coggle Diagram
Chatbots
Advantage of chatbot
Personnal bot can respond in any occassions
Retrieve information and respond quickly
Bots can relieve workload of human agents
Chatbot data can be analysed
Google Dialogueflow
Known as Dialogflow uses Natural Language Processing (NLP)
Branch under Artificial intelligence
Benefits of using Dialogueflow
Able to build chatbot on a web browser
Requires minimal coding and is suitable for anyone
Existing templates for building chatbot
has the cognitive ability to understand and reply in the natural language
Agents
Google uses artificial intelligence to translate the message into structured data
Dialogflow agent needs to be built to handle the conversation.
Whether it is a dialogflow agent or a human agent, training does not need to be overly explicit
Entities
The extracted data is called a parameter or entity type.
Parameters and entity types are structured data that can help us make better sense
types of system
data
times
numbers
email address
Intents
An intent categorises the customer's intention for a conversation turn.
We can define mutiple intents for a single agent in area such as:
basic troubleshooting
Making appointment
redirect phone calls
Dialogflow matches the end-user expression
Matching an intent is known as intent classification.
How dialogflow works
1) End user expression
2) Intent matched. with the training phrase and entities.
3) Respond. provided back to the user.