摘要
针对企业获取创新政策渠道不畅、时间滞后、难以理解等现实问题,通过网络爬虫技术汇聚各类创新政策,并建立基于文本分析的神经网络政策分析模型,相比基线方法提升了匹配精准度。系统开展实际应用,面向企业开展创新政策智能匹配、信息推送、分析报告服务,打通了创新政策惠企最后一公里问题,取得了良好服务成效。
In view of the practical problems of poor channels,time lag,and difficulty in understanding innovation policies for enterprises,this paper gathers various innovation policies through web crawler technology,and establishes a neural network policy analysis model for policy text analysis,which improves the matching accuracy compared with the baseline method.The system has been put into practical application,and provided several services for enterprises,including the intelligent matching of innovation policies,information push,and analysis reporting.This system has solved the last mile problem of benefiting enterprises with innovation policies,and achieved good service results.
作者
杨流海
颜瑞新
陈量
巢俊
徐裕峰
Yang Liuhai;Yan Ruixin;Chen Liang;Chao Jun;Xu Yufeng(Productivity Promotion Center of Jiangsu Province,Nanjing 210042,Jiangsu,China;Northwestern Polytechnical University,Xi’an 710072,Shaanxi,China;Taicang-CAS Institute of Information and Technology,Taicang 215400,Jiangsu,China)
出处
《计算机应用与软件》
北大核心
2025年第8期94-100,114,共8页
Computer Applications and Software
基金
江苏省2021年创新能力建设专项资金项目(BM2015015)。
关键词
创新政策
智能匹配
推送系统
Innovation policy
Intelligent matching
Push system
