Bonus: How to Build Coronavirus Chatbot

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From the above diagram you are able to understand how the data is processed and using the NLP layer the user’s inputs are validated and processed for the relevant answer.


However, the Following Are the Key Highlights of the Process

1. Some of the chatbots divide certain words into smaller physician data tokens so that they can easily understand the process and also define its applications.

2. Chatbox is used for named entity fields like user name, gender, age, etc to understand better details about the user and then recommend the relevant answer

3. One of the key highlights of using NLP is understanding the phrases of our users and deciphering the exact meaning of the same. With dependency parsing, chatbots are able to identify different parts of speech such as nouns, verbs etc and understand the meaning of complex sentences as well.

Also, using sentiment analysis they can understand the real meaning of the words which are often called “homonyms”.

While we have understood the need and process of implementing chatbots it is crucial for us to understand the process of building it as well

How to Build Your Own Healthcare Chatbot
A number of tools today can help you create your first chatbot in minutes. Let us understand the process of the same.