Deployment of Natural Language Processing Technology as a Service and Front-End Visualization

Abstract

In the field of artificial intelligence, natural language processing (NLP) technology occupies a core position, and it has been widely used in many scenarios such as speech recognition, automatic translation, emotion analysis and so on. As the technology advances, it is critical to implement NLP technology as a service deployment and front-end visualization, which is essential to enhance application performance and user experience. This paper analyzes the core algorithm of NLP technology and its application in different industries, and expounds how to realize the efficient deployment of NLP model with the help of service-oriented architecture. The article delves into deployment techniques such as model encapsulation, interface design, performance optimization, and lifecycle management, and explores visual presentation to improve the comprehensibility of data analysis results while ensuring data security and privacy protection. With these technical measures, NLP's service capabilities in real-world applications become more flexible and efficient, while also improving the user's interactive experience