Designing Context-Aware Chatbot Systems Using AI Techniques for Enhanced User Interaction and Problem-Solving
Keywords:
Artificial Intelligence, Chatbots, Context-Aware Systems, Natural Language Processing, Sentiment Analysis, Machine Learning, User Interaction, Problem-SolvingAbstract
The rapid development of artificial intelligence (AI) has significantly advanced chatbot technologies, enabling these systems to perform complex tasks and engage in dynamic user interactions. This study explores the design of context-aware chatbot systems, emphasizing the use of advanced AI techniques for improved user interaction and problem-solving capabilities. By integrating contextual understanding, these systems adapt dynamically to user needs, fostering a more intuitive interaction environment. A comprehensive methodology encompassing natural language processing, sentiment analysis, and machine learning is presented, alongside a robust system architecture for implementation. Evaluation metrics demonstrate the enhanced performance of the proposed chatbot system compared to traditional designs. The findings highlight the transformative potential of context-aware chatbots across various domains, paving the way for future innovations.
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Copyright (c) 2025 Vikram Singh Chandrawat (Author)
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