![]() Rule-Based approach - Here the bot is trained based on some set rules.There are two broad categories of chatbots: In this article, we will learn how to create one in Python using TensorFlow to train the model and Natural Language Processing(nltk) to help the machine understand user queries. A good example that everybody uses is the Google Assistant, Apple Siri, Samsung Bixby, and Amazon Alexa. Well, this is a personalized opinion where one has to do a cost-benefit analysis and decide whether it is a worthwhile project.Īt the current technology stand, most companies are slowly transitioning to use chatbots for their in-demand day-day services. But basically, you'll find them in: Help desks, transaction processing, customer support, booking services, and providing 24-7 real-time chat with clients. ![]() Where is it used?Ĭhatbots have extensive usage, and we can not expound on all the possibilities where it can be of use. Machine learning and algorithm knowledgeĪ Chatbot, also called an Artificial chat agent, is a software program driven by machine learning algorithms that aim at simulating a human-human like conversation with a user by either taking input as text or speech from the user.Perhaps you have heard this term and wondered: what is this chatbot, what is it used for, do I really need one, how can I create one? If you just want to build your own simple chatbot, this article will take you through all the steps in creating one for yourself.
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