【摘要】 近年来,产学研合作成为推动产业升级和经济发展的重要因素,产学研服务可以快速整合多方资源,提高创新效率,增强企业的综合竞争力,因此各级政府也围绕产学研合作推出了各种支持政策.然而各类企业,作为产学研合作的重要一环,在申报过程中难以快速收集、整理与其相关的支持政策.因此,我们面向产学研服务,利用人工智能文本分析的技术,设计和实现了政策匹配系统,可以对各类政策进行分析和预处理,使得企业在政策池中能快速地获取与自身条件相匹配的政策,从而节省企业的人力,提高企业申报政策的效率.更多还原

【Abstract】 In recent years, industry-university-research cooperation has become an important factor promoting industrial upgrading and economic development. Industry-university-research services are conducive to quickly integrating multiple resources, improving innovation efficiency, and enhancing the comprehensive competitiveness of enterprises.Governments at all levels have also launched various policies to support industry-university-research cooperation.However, a wide variety of enterprises, as an important part of such cooperation, find it difficult to collect and organize befitting supporting policies efficiently during the application process. Therefore, this study employs the technology of artificial intelligence-based text analysis to design and implement a policy matching system for industry-universityresearch services. This system can analyze and preprocess various policies from different sources, thereby enabling enterprises to quickly obtain supporting policies that match their specific conditions and ultimately saving manpower for the enterprises and improving their efficiency in applying for a project.更多还原