Paper Info
Title
TUMS: twitter-based user modeling service
Abstract
Twitter is today's most popular micro-blogging service on the Social Web. As people discuss various fresh topics, Twitter messages (tweets) can tell much about the current interests and concerns of a user. In this paper, we introduce TUMS, a Twitter-based User Modeling Service, that infers semantic user profiles from the messages people post on Twitter. It features topic detection and entity extraction for tweets and allows for further enrichment by linking tweets to news articles that describe the context of the tweets. TUMS is made publicly available as a Web application. It allows end-users to overview Twitter-based profiles in a structured way and allows them to see in which topics or entities a user was interested at a specific point in time. Furthermore, it provides Twitter-based user profiles in RDF format and allows applications to incorporate these profiles in order to adapt their functionality to the current interests of a user. TUMS is available via: http://wis.ewi.tudelft.nl/tums/
Year
DOI
Venue
2011
10.1007/978-3-642-25953-1_22
ESWC Workshops
Keywords
Field
DocType
messages people post,twitter-based profile,twitter message,social web,current interest,twitter-based user modeling service,infers semantic user profile,twitter-based user profile,web application,rdf format,service,user modeling
World Wide Web,Social web,Computer science,User modeling,Web application,RDF
Conference
Volume
ISSN
Citations 
7117
0302-9743
26
PageRank 
References 
Authors
1.33
17
4
Name
Order
Citations
PageRank
Ke Tao161025.33
Fabian Abel2118762.22
Qi Gao351120.30
Geert-jan Houben42547209.67