摘要
Abstract
With the rapid development of the Internet ,the cyber society and the real society are gradually synchronized , and incidents on the Internet have become more and more related to incidents offline .Public opinions online are also be‐coming more capable of reflecting social events in time .Therefore ,network public opinion monitoring not only helps to in‐form public opinions ,providing references for the decision -making departments in concern ,but also gives timely warning of unexpected events thanks to large data analysis .This study ,focusing on Internet information such as micro blog ,post bar ,forum and news comments ,explores ,on the principle of applicability ,an Internet public opinion monitoring method which is based on automatic text classification .A web crawler is applied to collect information on the Internet ,and the KNN algorithm is used to conduct the automatic classification of online public opinions .The applicability of this method is verified by experiments at the end of the current study .关键词
文本分类/KNN算法/网络爬虫/舆情监测Key words
Text Classification/KNN Algorithm/Web Crawler/Public Opinion Monitoring分类
信息技术与安全科学
