A Chatbot is an application that interacts with users like a human. Chatbots are typically used to resolve the most common queries that a business receives from its customers daily. In this article, I’ll walk you through how to create a Chatbot using Python.
What is a Chatbot?
A Chatbot is an AI application that mimics human conversations. It is widely used by companies to solve the most common problems they receive from customers daily. For example, if you want to know the CRN of your bank account, a chatbot will assist you by asking for your bank details, then it will give you your CRN. But if you want to know something that is not that common, like asking how you can turn your account into a joint account, chances are the authorized employee will assist you.
So while creating a chatbot for any company you should know what that company deals in and what problems their customers get daily. In the section below, I will take you through how to create a chatbot using Python.
Chatbot with Python
I hope you now have understood what are chatbots and why so many companies use them to solve the most common problems of their customers. Now let’s see how to create a chatbot with Python. Here, I will be using the NLTK library in Python which is one of the best Python libraries for any task of natural language processing:
from nltk.chat.util import Chat, reflections
Now I will be creating a list of queries and their responses for the chatbot:
Now let’s run this program and interact with the chatbot by using some of the queries related to the queries mentioned in the above list:
So the chatbot performs well. You can create this chatbot more advanced by using some more Python packages of NLP or by adding more queries to it.
Chatbots are very useful applications for every company especially if a company is providing any type of service. It helps an organization by solving the most common queries of the customers. I hope you liked this article on how to create a chatbot using Python. Feel free to ask your valuable questions in the comments section below.