网络舆情监测系统的研究与实现

The Research and Implement of Network Public Opinion Monitoring System

网络舆情作为一种重要的舆情形式,具有形成速度快,受众人群广等特点,对国家和社会的影响越来越重大。互联网用户可以自由地在微博、论坛、博客等中发表有关社会中各类现实问题的态度和意见。监测网络舆情的主要手段就是利用网络爬虫对目标网络的页面数据进行挖掘,然后对挖掘的数据进行分类处理,并科学地统计舆情信息。本文主要分析网络舆情的特征和处理对策,并利用网络爬虫、全文检索、关键词评分、以及科学数理统计等手段对网络舆情监测系统的原理进行探索与系统实现。

As an important form of network public opinion, fast generation, wide audience, network pubic opinion plays an increasingly key role in the nation and society. Intemet users can freely present their opinion in micro- blogs, forums, and blogs. The primary means of monitoring the network public opinion is the use of a Web crawler page of the target network, data mining, classification, and scientific statistical information of public opinion information. This paper mainly focused on the fea- tures of the network public opinion and treatment measures. Using Web crawler, text search, explore and system the Keywords rating, as well as scientific and mathematical statistics, it explored the principle of network public opinion system and realize the system.