Mining Experts in Technical Online Forums

Autores
Das Neves, Fernando; Wasylyszyn, Fernando
Año de publicación
2010
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Many organizations use or host discussion lists, in the form of online forums and email lists. Analyzing the content of those discussion lists is an effective solution to the task of expert finding, since experts tend to participate often by giving advice, and receive the best feedback. We present a novel method to identify positive comments that helps to identify experts by combining author statistics with polarity mining. Our method is able to distinguish experts from flamers and other people that simply participates frequently in discussions. We demonstrate the validity of our approach by evaluating it with an online discussion forum in Spanish.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
expert finding
discussions
polarity mining
machine learning
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/152668
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/152668
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Mining Experts in Technical Online ForumsDas Neves, FernandoWasylyszyn, FernandoCiencias Informáticasexpert findingdiscussionspolarity miningmachine learningMany organizations use or host discussion lists, in the form of online forums and email lists. Analyzing the content of those discussion lists is an effective solution to the task of expert finding, since experts tend to participate often by giving advice, and receive the best feedback. We present a novel method to identify positive comments that helps to identify experts by combining author statistics with polarity mining. Our method is able to distinguish experts from flamers and other people that simply participates frequently in discussions. We demonstrate the validity of our approach by evaluating it with an online discussion forum in Spanish.Sociedad Argentina de Informática e Investigación Operativa2010info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf187-198http://sedici.unlp.edu.ar/handle/10915/152668enginfo:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-17.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2784info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:20:17Zoai:sedici.unlp.edu.ar:10915/152668Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:20:17.376SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Mining Experts in Technical Online Forums
title Mining Experts in Technical Online Forums
spellingShingle Mining Experts in Technical Online Forums
Das Neves, Fernando
Ciencias Informáticas
expert finding
discussions
polarity mining
machine learning
title_short Mining Experts in Technical Online Forums
title_full Mining Experts in Technical Online Forums
title_fullStr Mining Experts in Technical Online Forums
title_full_unstemmed Mining Experts in Technical Online Forums
title_sort Mining Experts in Technical Online Forums
dc.creator.none.fl_str_mv Das Neves, Fernando
Wasylyszyn, Fernando
author Das Neves, Fernando
author_facet Das Neves, Fernando
Wasylyszyn, Fernando
author_role author
author2 Wasylyszyn, Fernando
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
expert finding
discussions
polarity mining
machine learning
topic Ciencias Informáticas
expert finding
discussions
polarity mining
machine learning
dc.description.none.fl_txt_mv Many organizations use or host discussion lists, in the form of online forums and email lists. Analyzing the content of those discussion lists is an effective solution to the task of expert finding, since experts tend to participate often by giving advice, and receive the best feedback. We present a novel method to identify positive comments that helps to identify experts by combining author statistics with polarity mining. Our method is able to distinguish experts from flamers and other people that simply participates frequently in discussions. We demonstrate the validity of our approach by evaluating it with an online discussion forum in Spanish.
Sociedad Argentina de Informática e Investigación Operativa
description Many organizations use or host discussion lists, in the form of online forums and email lists. Analyzing the content of those discussion lists is an effective solution to the task of expert finding, since experts tend to participate often by giving advice, and receive the best feedback. We present a novel method to identify positive comments that helps to identify experts by combining author statistics with polarity mining. Our method is able to distinguish experts from flamers and other people that simply participates frequently in discussions. We demonstrate the validity of our approach by evaluating it with an online discussion forum in Spanish.
publishDate 2010
dc.date.none.fl_str_mv 2010
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/152668
url http://sedici.unlp.edu.ar/handle/10915/152668
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-asai-17.pdf
info:eu-repo/semantics/altIdentifier/issn/1850-2784
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
187-198
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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