信息网络安全 ›› 2018, Vol. 18 ›› Issue (12): 82-86.doi: 10.3969/j.issn.1671-1122.2018.12.011

• 技术研究 • 上一篇    下一篇

基于Hadoop的森林公安网络舆情监测系统设计与实现

张春霞1(), 王新猛1, 张晓熙2   

  1. 1.南京森林警察学院信息学院,江苏南京210046
    2.突泉县公安局情报大队,内蒙古突泉 137500
  • 收稿日期:2018-07-18 出版日期:2018-12-20 发布日期:2020-05-11
  • 作者简介:

    作者简介:张春霞(1979—),女,河南,讲师,硕士,主要研究方向为数据挖掘;王新猛(1973—),男,山东,教授,硕士,主要研究方向为公安情报学、侦查学;张晓熙(1993—),男,内蒙古,本科,主要研究方向为大数据应用。

  • 基金资助:
    中央高校基本科研业务费专项资金[LGYB201604];江苏高校品牌专业建设工程资助项目[PPZY2015 A058]

Design and Implementation of Network Public Opinion Monitoring System for Forest Public Security Based on Hadoop

Chunxia ZHANG1(), Xinmeng WANG1, Xiaoxi ZHANG2   

  1. 1.Department of Information, Nanjing Forest Police College, Nanjing Jiangsu 210046, China
    2. Intelligence Brigade, Tuquan Public Security Bureau, Tuquan Inner Mongolia 137500, China
  • Received:2018-07-18 Online:2018-12-20 Published:2020-05-11

摘要:

在走访调研中发现,国内森林公安应用系统中对网络舆情的收集、分析、上报工作尚处于人工方式的原始状态,导致收集效率低、分析时间长、研判准确率不高,特别是有效舆情的转化率低。为完善森林公安网络舆情监测工作机制,文章针对森林公安网络舆情监测的现实需求,设计了基于Hadoop的森林公安网络舆情监测系统,用Hadoop集群MapReduce分布式处理框架,实现森林公安网络舆情的并行爬取和分析。实践证明,基于Hadoop的森林公安网络舆情监测系统有效提高了森林公安网络舆情的收集和分析效率。

关键词: 森林公安, 网络舆情, Hadoop, MapReduce

Abstract:

The survey shows that the collection, analysis and reporting of network public opinion in the domestic forest public security application system is still in the original state of artificial mode, which leads the collection efficiency is low, the analysis time is long, and the accuracy of research and judgment is not high, specially conversion rate of effective public opinion is low. In order to improve the working mechanism of forest public security network public opinion monitoring, this paper designs a forest public security network public opinion monitoring system based on Hadoop according to the actual needs of forest public security network public opinion monitoring. The system realizes parallel crawling and analysis of forest public security network public opinion based on MapReduce distributed processing framework in Hadoop. The practice proves that forest public security network public opinion monitoring system based on Hadoop improves effectively the collection efficiency and analysis efficiency of forest public security network public opinion.

Key words: forest public security, network public opinion, Hadoop, MapReduce

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