An automatic topic ranking approach for event detection on microblogging messages

Author

Lee, Chung-Hong ; Chien, Tzan-Feng ; Yang, Hsin-Chang

Author_Institution

Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan

fYear

2011

fDate

9-12 Oct. 2011

Firstpage

1358

Lastpage

1363

Abstract

Microblog is a social network service which is able to aggregate messages to explore new knowledge. Nowadays, more and more users contribute what they found and what they thought by posting short messages. This phenomenon makes people spend lots of time monitoring text streams of microblogging messages, in order for acquisition of information regarding real-time events and news. In this work, we adopted several algorithms for mining topics on microblogs, and developed a novel algorithm for ranking topics and messages on microblogs. The developed ranking solution is expected to assist people to quickly identify emerging topics and events which might yield the most recently trending topics, with the hope to effectively resolve the information overload.

Keywords

data mining; social networking (online); text analysis; automatic topic ranking; event detection; microblogging; social network service; Blogs; Clustering algorithms; Earthquakes; Google; Heuristic algorithms; Real time systems; Twitter; ranking algorithm; social networks; text mining; topic detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1062-922X

Print_ISBN

978-1-4577-0652-3

Type

conf

DOI

10.1109/ICSMC.2011.6083847

Filename

6083847