Hotspot Discovery And Emotional Tendencies Analysis Based On Micro-blog

With the rapid development of society as well as popularity of the Internet in China, The sense of social participation among Internet users is increasing. Internet is becoming the main channel for the spread of public opinion. The micro-blog platform has the incomparable advantages overtraditional media, it spreads rapidly and timely. Micro-blogis becoming an important platform for people to expressand pool theirpublic opinion.Micro-blog is a man-made media, everyone is a portal, everyone can participate and express opinion, a lot of original contents spread explosively. While spreading negative or unreal opinion, it will play a bad effect for public. Therefore, governments and leader should use the micro-blog platform to guide public opinion. In order to express the voice of the mainstream society, they need to make full use of the advantages and characteristics of the modern network communication technologies to guide the public opinion direction to positive side. At the same time, goverment should be responsible for public opinion, promote the solution to the problem of Internet users reflecting the people’s livelihood in the micro-blog and communicate enough with public people.In this thesis, to achieve these goals,we use the most popular and the largest number of users, Sina micro-blog platform, to collect micro-blog data; use ICTCLAS Chinese word segmentation system and similarity calculation method; use Peking University PKUVIS visual analysis tools and Hownet emotional theory, we analyzemicro-blog public opinion as follows:(1) the excavation of the hot social events;(2) the process of hot events propagation;(3) the mass of the hot events emotional tendencies. Through these processes, we can provide decision to support for government, the guide of public opinion will become more scientific and more unobstructed.