Introduction:
Chatbots have become a popular tool for businesses to engage with their website visitors and answer frequently asked questions. However, traditional chatbots often struggle with understanding natural language and providing relevant and accurate responses. Natural Language Processing (NLP) is a technology that allows chatbots to understand and respond to human language. In this blog post, we will explore the ways in which NLP improves the capabilities of chatbots and the limitations of traditional chatbots without NLP.

What is Natural Language Processing (NLP)?
Natural Language Processing (NLP) is a branch of artificial intelligence that deals with the interaction between computers and human language. It involves the use of algorithms and machine learning techniques to understand and respond to human language. NLP allows chatbots to understand and respond to natural language, which allows for more natural and human-like conversations with website visitors.

Benefits of NLP in Chatbot Interactions:

Improved understanding of natural language: NLP allows chatbots to understand and respond to natural language, which allows for more natural and human-like conversations with website visitors.
Relevant and accurate responses: NLP allows chatbots to provide relevant and accurate responses to user’s questions, which can improve customer service and lead generation for a business.
Increased lead generation and conversions: By providing relevant and accurate information to website visitors, chatbots can help businesses increase lead generation and conversions.
Limitations of Traditional Chatbots without NLP