Browse wiki

Jump to: navigation, search
Mining the personal interests of microbloggers via exploiting wikipedia knowledge
Abstract This paper focuses on an emerging researchThis paper focuses on an emerging research topic about mining microbloggers' personalized interest tags from their own microblogs ever posted. It based on an intuition that microblogs indicate the daily interests and concerns of microblogs. Previous studies regarded the microblogs posted by one microblogger as a whole document and adopted traditional keyword extraction approaches to select high weighting nouns without considering the characteristics of microblogs. Given the less textual information of microblogs and the implicit interest expression of microbloggers, we suggest a new research framework on mining microbloggers' interests via exploiting the Wikipedia, a huge online word knowledge encyclopedia, to take up those challenges. Based on the semantic graph constructed via the Wikipedia, the proposed semantic spreading model (SSM) can discover and leverage the semantically related interest tags which do not occur in one's microblogs. According to SSM, An interest mining system have implemented and deployed on the biggest microblogging platform (Sina Weibo) in China. We have also specified a suite of new evaluation metrics to make up the shortage of evaluation functions in this research topic. Experiments conducted on a real-time dataset demonstrate that our approach outperforms the state-of-the-art methods to identify microbloggers' interests.hods to identify microbloggers' interests.
Abstractsub This paper focuses on an emerging researchThis paper focuses on an emerging research topic about mining microbloggers' personalized interest tags from their own microblogs ever posted. It based on an intuition that microblogs indicate the daily interests and concerns of microblogs. Previous studies regarded the microblogs posted by one microblogger as a whole document and adopted traditional keyword extraction approaches to select high weighting nouns without considering the characteristics of microblogs. Given the less textual information of microblogs and the implicit interest expression of microbloggers, we suggest a new research framework on mining microbloggers' interests via exploiting the Wikipedia, a huge online word knowledge encyclopedia, to take up those challenges. Based on the semantic graph constructed via the Wikipedia, the proposed semantic spreading model (SSM) can discover and leverage the semantically related interest tags which do not occur in one's microblogs. According to SSM, An interest mining system have implemented and deployed on the biggest microblogging platform (Sina Weibo) in China. We have also specified a suite of new evaluation metrics to make up the shortage of evaluation functions in this research topic. Experiments conducted on a real-time dataset demonstrate that our approach outperforms the state-of-the-art methods to identify microbloggers' interests.hods to identify microbloggers' interests.
Bibtextype inproceedings  +
Doi 10.1007/978-3-642-54903-8-16  +
Has author Fan M. + , Zhou Q. + , Zheng T.F. +
Has extra keyword Computational linguistics + , Semantics + , Text processing + , Evaluation function + , Interest + , Micro-blog + , Micro-blogging platforms + , Social tagging + , State-of-the-art methods + , Textual information + , Wikipedia + , Research +
Has keyword Interest + , Microblog + , Social tagging + , Wikipedia +
Issn 3029743  +
Issue PART 2  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Pages 188–200  +
Published in Lecture Notes in Computer Science +
Title Mining the personal interests of microbloggers via exploiting wikipedia knowledge +
Type conference paper  +
Volume 8404 LNCS  +
Year 2014 +
Creation dateThis property is a special property in this wiki. 6 November 2014 14:36:58  +
Categories Publications without license parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 14:36:58  +
DateThis property is a special property in this wiki. 2014  +
hide properties that link here 
Mining the personal interests of microbloggers via exploiting wikipedia knowledge + Title
 

 

Enter the name of the page to start browsing from.