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This study presents a Data Science Chat bot that uses Natural Language Processing techniques, namely the Natural Language Toolkit. As an intelligent conversational agent, the chat bot helps users navigate and derive insights from large, complex databases. By utilizing sophisticated natural language processing techniques, the chatbot can comprehend and analyze user inquiries, facilitating easy interaction between people and data. To understand the semantics of user inputs and provide accurate and context-aware responses, the system makes use of tokenization, part-of-speech tagging, and syntactic analysis. The chatbot also incorporates machine learning algorithms to improve its capacity to offer data-driven insights and recommendations. Using Natural Language Toolkit allows for continual development through ongoing model training in addition to robust language analysis. By making data analysis and access more approachable and engaging for users with different degrees of data science experience, our chatbot for data science seeks to democratize these processes.
Gayathri et al. (Thu,) studied this question.