摘要
为解决微观区域网络舆情动态数据的收集问题,提出了一种微观区域网络搜索热词的捕获方法,通过在该区域的网关上部署分光器,将分流出来的网络数据包按照相关协议重组,还原出会话内容,从而提取出搜索词。数据分析结果表明,与宏观区域的网络搜索热词和网络媒体热词相比,微观区域的网络搜索热词在内容上具有地域特色,在时间上具有"热快冷慢"的变化特点。
To collecting data about the public sentiment on the Internet in a micro district,a method to capture popular search words is presented.By deploying an optical splitter on the Internet portal of the district,popular search words are extracted from the session content assembled by data packets filtered from the optical splitter.The data analysis results show that the popular search words in a micro district has a region feature in the content and a ＂building up quickly and decaying slowly＂ feature in temporal dynamics.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第2期556-560,共5页
Computer Engineering and Design
基金
国家科技支撑计划课题基金项目(2006BAK11B01
2011BAK08B03)
关键词
搜索热词
微观区域
使用频率
数据包重组
分光器
popular search words
micro district
usage frequency
data packet assembly
optical splitter
