Title :
Quick tendency forecast on Internet public opinions
Author :
Xu, Bin ; Zhou, Huanyu ; Ge, Yujia
Author_Institution :
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
Abstract :
Internet public opinions receive more and more attention currently as such opinions impact much more on government decision making and the entire social opinion. The accuracy validation and tendency analysis on some critical Internet public opinions become more important for government and social to understand the status accurately. In this paper, a quick tendency forecast method is proposed and implemented. The result on a real Internet public opinion turns out to be good.
Keywords :
Internet; decision making; social aspects of automation; technological forecasting; Internet public opinions; accuracy validation; government decision making; tendency analysis; tendency forecast method; Algorithm design and analysis; Equations; Government; Internet; Mathematical model; Prediction algorithms; Web sites; Internet public opinions; decision making; tendency forecast;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569600