Paper Title

Designing Intelligent Chatbots with Natural Language Processing for Enterprise Knowledge Systems

Authors

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Research Scholar

Keywords

  • Chatbots
  • Natural Language Processing (NLP)
  • Enterprise Knowledge Systems
  • Deep Learning
  • Intent Recognition

Journal

International Journal of Computer Science and Information Technology Research External link

Publication Info

Volume: 5 | Issue: 4 | Pages: 59-63

Published On

December, 2024

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Abstract

Intelligent chatbots powered by Natural Language Processing (NLP) have become essential tools for enterprise knowledge systems, enhancing customer support, employee assistance, and information retrieval. This paper explores the design and implementation of NLP-based chatbots for enterprise environments, focusing on key challenges such as intent recognition, contextual understanding, and integration with knowledge bases. We review existing literature on chatbot architectures, NLP techniques, and enterprise applications, highlighting advancements in transformer-based models like BERT and GPT. Additionally, we discuss practical considerations for deployment, including scalability, security, and multilingual support. The findings suggest that combining deep learning with structured knowledge graphs significantly improves chatbot performance in enterprise settings.

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