Citation :

AnNing, WangZhuoxian, 2024. "Design and Evaluation of a Human-Computer Dialogue System Based on Natural Language Processing" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 1: 23-30.

Abstract :

In recent years, natural language processing (NLP) has become an important component in the development of human-computer dialogue systems. This paper presents the design and evaluation of a human-computer dialogue system based on NLP. The objective of this study is to develop a system that can effectively understand and respond to natural language input from users. To achieve this, a combination of machine-learning techniques and rule-based approaches was employed. The system was trained using a large dataset of human-computer dialogues and evaluated using various metrics including accuracy and user satisfaction. The results show that the proposed system achieved high accuracy in understanding user input and generated relevant and coherent responses. The evaluation also demonstrated high user satisfaction with the system's performance. The findings from this study highlight the potential of NLP-based dialogue systems in improving human-computer interaction.

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Keywords :

Natural Language Processing, Human-Computer Dialogue System, Machine Learning, Rule-Based Approach, User Satisfaction.