| 医疗卫生行业互联网舆情监测预警系统设计及实现 |
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| 引用本文： | 虞颖映,吴立仁,胡天天,马凌飞,朱瑞英,施培武.医疗卫生行业互联网舆情监测预警系统设计及实现[J].中华医学图书情报杂志,2017,26(3):37-40. |
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| 作者姓名： | 虞颖映 吴立仁 胡天天 马凌飞 朱瑞英 施培武 |
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| 作者单位： | 浙江省医学科学院，浙江 杭州 310012,浙江省医学科学院，浙江 杭州 310012,浙江省医学科学院，浙江 杭州 310012,浙江省医学科学院，浙江 杭州 310012,浙江省医学科学院，浙江 杭州 310012,浙江省医学科学院，浙江 杭州 310012 |
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| 基金项目： | 浙江省科技厅项目“基于数据挖掘技术的卫生行业网络舆情监测预警平台建设及应用”(2014F30019)研究成果之一 |
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| 摘 要： | 在当前医疗卫生行业网络舆情多发易发的态势下，行业互联网舆情监测预警信息服务系统实现了大数据采集、近似文本去重、智能垃圾文过滤、重要舆情预警、地域识别、倾向性分析等全方位的数据采集和分析功能，为相关部门全面掌控网络舆情和有效应对提供依据。
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| 关 键 词： | 医疗卫生行业 大数据采集 互联网舆情 文章去重 垃圾文过滤 舆情监测 |
| 收稿时间： | 2016/11/16 0:00:00 |
Design and implementation of Internet Public Opinion Monitoring and Early Warning System for medical and health industry |
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| YU Ying-ying,WU Li-ren,HU Tian-tian,MA Ling-fei,ZHU Rui-ying and SHI Pei-wu.Design and implementation of Internet Public Opinion Monitoring and Early Warning System for medical and health industry[J].Chinese Journal of Medical Library and Information Science,2017,26(3):37-40. |
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| Authors: | YU Ying-ying WU Li-ren HU Tian-tian MA Ling-fei ZHU Rui-ying and SHI Pei-wu |
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| Institution: | Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China,Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China,Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China,Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China,Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China and Zhejiang Academy of Medical Sciences, Hangzhou 310012, Zhejiang Province, China |
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| Abstract: | The Internet Public Opinion Monitoring and Early Warning System for medical and health industry was designed and implemented due to the frequent occurrence of Internet public opinion, which has all-directional data collecting and analyzing functions, including big data collection, near duplicate detection, spam filtration, key public opinion early warning, region identification and tendency analysis, and can thus provide evidence for relevant departments to take effective measures for the control of Internet public opinion. |
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| Keywords: | Medical and health industry Bid data collection Internet public opinion Duplicate detection Spam filtration Public opinion monitoring |
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