Natural language processing chatbots are used in customer service tools, virtual assistants, etc. Some real-world use cases include customer service, marketing, and sales, as well as chatting, medical checks, and banking purposes. This chatbot framework NLP tool is the best option for Facebook Messenger users as the process of deploying bots on it is seamless.
Before building a chatbot, it is important to understand the problem you are trying to solve. For example, you need to define the goal of the chatbot, who the target audience is, and what tasks the chatbot will be able to perform. BUT, when it comes to streamlining the entire process of bot creation, it’s hard to argue against it. While the builder is usually used to create a choose-your-adventure type of conversational flows, it does allow for Dialogflow integration. Another thing you can do to simplify your NLP chatbot building process is using a visual no-code bot builder – like Landbot – as your base in which you integrate the NLP element. There are many who will argue that a chatbot not using AI and natural language isn’t even a chatbot but just a mare auto-response sequence on a messaging-like interface.
