• Sunny Kaushik
• Rahul

The advent of chatbots powered by natural language processing (NLP) has changed the way humans interact with machines. This article focuses on the process of building a chatbot using NLP techniques, exploring key concepts such as natural language understanding, speech management, and natural language design. Through extensive literature review, various NLP algorithms, tools, and techniques are reviewed for developing context-aware chatbots. The process includes data collection, prioritization and application of NLP techniques. Measure the effectiveness of chatbot design using appropriate metrics, including user satisfaction. The findings highlight the potential and limitations of chatbots, paving the way for future improvements in chatbot design and operation. Overall, this research contributes to the field of NLP-driven chatbot development, providing insight into the potential of these systems to improve human-powered communication.

Natural Language Processing (NLP), Chatbots, Human-Machine Interaction, Natural Language Understanding, Speech Management, NLP Algorithms, Data Collection, Human-Powered Communication.

"Chatbot using Natural Language Processing (NLP) Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.d200-d216, September-2023, Available :http://www.jetir.org/papers/JETIR2309320.pdf

"Chatbot using Natural Language Processing (NLP) Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppd200-d216, September-2023, Available at : http://www.jetir.org/papers/JETIR2309320.pdf