About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Mining User-Generated Content for Security

Research Article

Signalling Events in Text Streams

Download(Requires a free EAI acccount)
489 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-642-12630-7_42,
        author={Jelle Sch\'{y}hmacher and Cornelis Koster},
        title={Signalling Events in Text Streams},
        proceedings={Mining User-Generated Content for Security},
        proceedings_a={MINUCS},
        year={2012},
        month={10},
        keywords={Signalling Events Interactive learning Text Mining Text Streams},
        doi={10.1007/978-3-642-12630-7_42}
    }
    
  • Jelle Schühmacher
    Cornelis Koster
    Year: 2012
    Signalling Events in Text Streams
    MINUCS
    Springer
    DOI: 10.1007/978-3-642-12630-7_42
Jelle Schühmacher1,*, Cornelis Koster1,*
  • 1: Radboud University, Nijmegen
*Contact email: j.schuhmacher@cs.ru.nl, kees@cs.ru.nl

Abstract

With the rise of Web 2.0 vast amounts of textual data are generated every day. Micro-blogging streams and forum posts are ideally suited for signalling suspicious events. We are investigating the use of classification techniques for recognition of suspicious passages.

Keywords
Signalling Events Interactive learning Text Mining Text Streams
Published
2012-10-23
http://dx.doi.org/10.1007/978-3-642-12630-7_42
Copyright © 2009–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL