摘要
随着互联网和通信技术的飞快发展,信息呈指数式增长,而怎样在大量的网络信息中准确找到相关舆情信息是我们面临的一个新的挑战。论文是依托百度搜索引擎,主要研究爬虫、搜索引擎、文本信息挖掘等技术,应开展网络舆情监控工作的应用需求而提出的一个完整的解决方案,可以大幅提高百度网站、百度贴吧舆情信息搜索的速度和获取信息的准确度,有效缩短信息搜索时间,提高监控效率。
With the rapid development of Internet and communication technology,there has been an exponential increase in information.How to accurately find relevant public information resources in network information is a new challenge for us.This paper is based on the Baidu search engine,mainly researching the crawler,search engine,text mining and other technologies.It is a complete solution proposed to the application requirements of network public opinion monitoring,which can significantly improve the website of Baidu,Baidu post bar’s public opinion information search speed and accurate access to information,it also can shorten the search time and improve the monitoring efficiency.
作者
唐国维
赵璨
李井辉
张岩
TANG Guowei;ZHAO Can;LI Jinghui;ZHANG Yan(Northeast Petroleum University,Daqing 163318)
出处
《计算机与数字工程》
2019年第11期2785-2790,共6页
Computer & Digital Engineering
基金
黑龙江省高等教育教学改革项目(编号:SJGY20170044)资助
关键词
舆情信息
搜索引擎
爬虫
public opinion information
search engines
the crawler