Persistent Link:
http://hdl.handle.net/10150/105795
Title:
Performance tags -- who's running the show?
Author:
Tonkin, Emma; Tourte, Gregory J. L.; Zollers, Alla
Editors:
Lussky, Joan
Citation:
Performance tags -- who's running the show? 2008,
Issue Date:
2008
URI:
http://hdl.handle.net/10150/105795
Submitted date:
2008-10-20
Abstract:
We describe a pilot study which specifically examines the prevalence and characteristics of performance tags on several sites. Identifying post-coordination of tags as a useful step in the study of this phenomenon, as well as other approaches to leveraging tags based on text and/or sentiment analysis, we demonstrate an approach to automation of this process, postcoordinating (segmenting) terms by means of a probabilistic model based around Markov chains. The effectiveness of this approach to parsing is evaluated with respect to the wide range of constructions visible on various services. Several candidate approaches for the latter stages of automated classification are identified.
Type:
Conference Paper
Language:
en
Keywords:
Classification
Local subject classification:
Social tagging; Indexing consistency; Post-coordination; Affect

Full metadata record

DC FieldValue Language
dc.contributor.authorTonkin, Emmaen_US
dc.contributor.authorTourte, Gregory J. L.en_US
dc.contributor.authorZollers, Allaen_US
dc.contributor.editorLussky, Joanen_US
dc.date.accessioned2008-10-20T00:00:01Z-
dc.date.available2010-06-18T23:34:35Z-
dc.date.issued2008en_US
dc.date.submitted2008-10-20en_US
dc.identifier.citationPerformance tags -- who's running the show? 2008,en_US
dc.identifier.urihttp://hdl.handle.net/10150/105795-
dc.description.abstractWe describe a pilot study which specifically examines the prevalence and characteristics of performance tags on several sites. Identifying post-coordination of tags as a useful step in the study of this phenomenon, as well as other approaches to leveraging tags based on text and/or sentiment analysis, we demonstrate an approach to automation of this process, postcoordinating (segmenting) terms by means of a probabilistic model based around Markov chains. The effectiveness of this approach to parsing is evaluated with respect to the wide range of constructions visible on various services. Several candidate approaches for the latter stages of automated classification are identified.en_US
dc.format.mimetypedocen_US
dc.language.isoenen_US
dc.subjectClassificationen_US
dc.subject.otherSocial taggingen_US
dc.subject.otherIndexing consistencyen_US
dc.subject.otherPost-coordinationen_US
dc.subject.otherAffecten_US
dc.titlePerformance tags -- who's running the show?en_US
dc.typeConference Paperen_US
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