ADVANCING HUMAN–COMPUTER INTERACTION THROUGH CHATXPERT: A SMART NLP-BASED CHATBOT FRAMEWORK
Abstract
This paper introduces ChatXpert, an AI chatbot system that uses Natural Language Processing (NLP) to enable smooth, human-like conversations on many topics.In today's fast-changing digital world, where AI-driven chat systems are essential for modern infrastructure, ChatXpert stands [1] out by providing communication that is both efficient and intelligent.It bridges the gap between humans and machines.ChatXpert is designed to understand, interpret, and generate natural language.This ability allows it to perform many tasks, such as accurately answering user questions, offering customer service help, providing [2] personalized recommendations, and automating routine tasks.To achieve these interactions, ChatXpert uses a set of NLP techniques.These include intent recognition (identifying the user's goal), named entity recognition (NER) (spotting key information like names, dates, and locations), sentiment analysis (grasping the emotional tone of the conversation), and strong contextual understanding [3] (keeping the conversation coherent).The system combines machine learning models and rule-based logic, creating a hybrid approach that improves its adaptability and performance over timeThe flexibility of ChatXpert means it can be applied across many industries.In e-commerce, it can handle customer inquiries and recommend products.In education, it might help students with learning materials or answer administrative questions.For healthcare, it could provide initial symptom assessments or guide patients to useful information.In finance, it could assist with balance inquiries or transaction details.In human resources, it could simplify onboarding or answer HR policy questions.It can [12] also improve experiences in travel (booking help, destination info) and entertainment (content recommendations, event details).This paper shows how using modern AI and NLP can improve user interaction and engagement through advanced automated dialogue systems.
Fields of Study & Subjects
Speech and dialogue systems
AI in Service Interactions
Natural Language Processing Techniques
Publication details
- Journal / source
- International Research Journal of Modernization in Engineering Technology and Science
- Publication date
- 16 January 2026