自然语言处理技术下的招标采购全过程质量检查研究

Research on Quality Inspection of the Whole Process of Bidding and Procurement under Natural Language Processing Technology

本课题基于招标采购业务过程,选取了典型业务场景,利用自然语言处理(Natural Language Processing,NLP)和机器学习等技术,分析了设计原理,研究了开发过程,并通过选择合适的应用场景和技术路线,形成了智能质检系统的整体建设方案。研究结果表明,该方案具有较好的建设成效及较高的经济和社会效益,在其他行业也具有一定的推广价值。

This project is based on the bidding and procurement business process,selecting typical business scenarios,using natural language processing(NLP)and machine learning technologies,analyzing design principles,studying the development process,and forming a comprehensive construction plan for an intelligent quality inspection system by selecting appropriate application scenarios and technical routes.The results of the study show that the program has good construction results and high economic and social benefits,and it has some value of popularization in other industries.