Hotspot Detection Method of Internet Public Opinion based on Key Words Extraction

Abstract

Traditional Internet public opinion hotspot tracking method is based on Text clustering, its text clustering speed and search result is not so good when handling massive webpage. The monitoring scale of Internet public opinion system is limited in the listed key words by the users, so that system cannot monitor the unknown emergency. According to the occurring and spreading features, to improve acquisition strategy of Internet Public opinion information, to propose the method of auto-mine hotspot key words and topic clustering on account of key words, design Internet public opinion hotspot analytical model based on different characteristics of news, forums and blogs, to design and accomplish an Internet public opinion monitoring system. The practical running suggested, this plan could accurately mine hotspot topics in time, track and monitor real-time emergencies.