Chat Bot in NLP

Chat Bot in NLP

Susmitha Madava1, Prerna Pawar2, Komal Chaudhari3, Nishant Mandavkar4 , Omkar Mane5
1 Professor, Dept. of Computer Science and Design Engineering, New Horizon Institute Technology, Thane

2 Student, Dept. of Computer Science and Design Engineering, New Horizon Institute Technology, Thane

3 Student, Dept. of Computer Science and Design Engineering, New Horizon Institute Technology, Thane

4 Student, Dept. of Computer Science and Design Engineering, New Horizon Institute Technology, Thane

5 Student, Dept. of Computer Science and Design Engineering, New Horizon Institute Technology, Thane

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Abstract - Natural Language Processing (NLP) is pivotal in the evolution of chatbots, facilitating their ability to comprehend and generate human-like responses. This abstract synthesizes key insights into the role of NLP in chatbot technology, highlighting its applications, challenges, and prospects 8.NLP encompasses various techniques such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis, all essential for enabling chatbots to interpret user inputs accurately. These methodologies allow chatbots to engage in meaningful conversations by understanding context and intent, ultimately enhancing user experience