![]() ![]() ![]() Increase productivity by providing quick data collection and better lead generation.Increase customer engagement by providing interactions conversational.In a Self-learn or AI-based chatbot, the bots are machine learning-based programs that simulate human-like conversations using natural language processing (NLP). It requires a lot of manual work to generate or prepare rules for training the chatbot.It is not capable of handling complex queries.Accountable, Secure, and not restricted to the text interactions.Rule-based chatbots are easy or faster to train.In Rule-based chatbots, the bot answers the queries based on some pre-defined rules on which it is trained. Self-learn or AI (Artificial Intelligence) based.Text-based chatbots are further classified into two types. In this article, we will focus on text-based chatbots with the help of an example. Voice-based or speech-based chatbots for example Google Home, Alexa, Apple Siri, Cortana.Text-based chatbots for example Customer Support Assitant.The chatbot is broadly classified into two types. Chatbot In Python: Types of Python Chatbot In one of the reports published by Gartner, “ By 2022, 70% of white-collar workers will interact with conversational platforms on a daily basis”. Today almost all industries use chatbots for providing a good customer service experience. The term “ChatterBot”was originally coined by Michael Mauldin (creator of the first Verbot) in 1994 to describe these conversational programs. The chatbot or chatterbot is a software application used to conduct an online chat conversation via text or text-to-speech, in lieu of providing direct contact with a live human agent. TechnologyAdvice AI Chatbot In Python Using NLP (NLTK): How To Build A chatbot?
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