Title :
A Research of Hot Topic Detection through Microblogging
Author :
Feifei Peng ; Xu Qian ; Gaoren Li
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Micro-blog is one of the internet applications, and it is newly developed online communication platform to achieve real-time information sharing. Micro-blog becomes quite popular. We analysis the researched approach of detecting hot topic, combine with a variety of related parameters of hot topic, and implement the detection of hot topic through Micro-blog. This paper presents a hot topic detection and extraction algorithm based on users´ preference. The experimental results show that the approach can effectively detect hot topic in the Micro-blog, and can effectively remove the false hot topic which have ambiguous information.
Keywords :
Internet; Web sites; Internet applications; hot topic detection; hot topic extraction algorithm; microblogging; online communication platform; realtime information sharing; user preference; Accuracy; Algorithm design and analysis; Clustering algorithms; Correlation; Educational institutions; Internet; Real time systems; complete negative correlation; mash-up; pearson correlation coefficient; user preferences; weight factor;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
DOI :
10.1109/IHMSC.2012.53