Title :
Analysis and Computing of Association Degree of SMS Feature Words
Author :
Sun, Qindong ; Qiao, Hongli ; Wang, Nan
Author_Institution :
Network Comput. & Security Key Lab. of Shaanxi, Xi´´an Univ. of Technol., Xi´´an
Abstract :
How to judge the relationship between mobile short messages is the key technology of mobile short message topic detection. The characteristics of the mobile SMS text are discussed in this paper, and the association of different SMS topic feature words is analyzed. Then a computing method of the association degree between different SMS feature words is proposed, which is based on leverage formula. The experimental results show that this method can effectively calculate the association degrees between SMS feature words, which could help to extract hot topics in corpus of a mess of short messages.
Keywords :
electronic messaging; text analysis; SMS text topic feature word; association degree; hot topic extraction; leverage formula; mobile short message topic detection; Clustering algorithms; Computer networks; Data mining; Detection algorithms; IP networks; Independent component analysis; Information services; Internet; Mobile computing; Web sites;
Conference_Titel :
Networking and Services, 2009. ICNS '09. Fifth International Conference on
Conference_Location :
Valencia
Print_ISBN :
978-1-4244-3688-0
Electronic_ISBN :
978-0-7695-3586-9
DOI :
10.1109/ICNS.2009.58
