Vote/veto meta-classifier for authorship identification notebook for PAN at CLEF 2011

Roman Kern, Christin Seifert, Mario Zechner, Michael Granitzer

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)
36 Downloads (Pure)

Abstract

For the PAN 2011 authorship identification challenge we have devel- oped a system based on a meta-classifier which selectively uses the results of multiple base classifiers. In addition we also performed feature engineering based on the given domain of e-mails. We present our system as well as results on the evaluation dataset. Our system performed second and third best in the authorship attribution task on the large data sets, and ranked middle for the small data set in the attribution task and in the verification task.
Original languageEnglish
Title of host publicationCLEF 2011
Subtitle of host publicationCLEF2011 Working Notes
EditorsVivien Petras, Pamela Forner, Paul Clough, Nicola Ferro
PublisherCEUR
Number of pages10
ISBN (Print)978-88-904810-1-7
Publication statusPublished - 2011
Externally publishedYes
EventCLEF (Cross-Language Evaluation Forum) Conference on Multilingual and Multimodal Information Access Evaluation 2011 - Amsterdam, Netherlands
Duration: 19 Sept 201122 Sept 2011
http://clef2011.clef-initiative.eu/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume1177
ISSN (Print)1613-0073

Conference

ConferenceCLEF (Cross-Language Evaluation Forum) Conference on Multilingual and Multimodal Information Access Evaluation 2011
Abbreviated titleCLEF
Country/TerritoryNetherlands
CityAmsterdam
Period19/09/1122/09/11
Internet address

Fingerprint

Dive into the research topics of 'Vote/veto meta-classifier for authorship identification notebook for PAN at CLEF 2011'. Together they form a unique fingerprint.

Cite this