1. RUA
  2. Research
  3. Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
  4. INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

Summarizing threads in blogs using opinion polarity

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/22493
StatisticsStatistics
Full metadata record
Full metadata record
DC FieldValueLanguage
dc.contributorProcesamiento del Lenguaje y Sistemas de Información (GPLSI)es
dc.contributor.authorBalahur Dobrescu, Alexandra-
dc.contributor.authorLloret, Elena-
dc.contributor.authorBoldrini, Ester-
dc.contributor.authorMontoyo, Andres-
dc.contributor.authorPalomar, Manuel-
dc.contributor.authorMartínez-Barco, Patricio-
dc.contributor.otherUniversidad de Alicante. Departamento de Lenguajes y Sistemas Informáticoses
dc.date.accessioned2012-05-17T10:43:08Z-
dc.date.available2012-05-17T10:43:08Z-
dc.date.issued2009-
dc.identifier.citationBALAHUR, Alexandra, et al. "Summarizing threads in blogs using opinion polarity". En: Proceedings of Events in Emerging Text Types (eETTs) : Borovets, Bulgaria, 17 September 2009. Shoumen : INCOMA, 2009. ISBN 978-954-452-011-3, 23-31es
dc.identifier.isbn978-954-452-011-3-
dc.identifier.urihttp://hdl.handle.net/10045/22493-
dc.description.abstractThe huge amount of data available on the Web needs to be organized in order to be accessible to users in real time. This paper presents a method for summarizing subjective texts based on the strength of the opinion expressed in them. We used a corpus of blog posts and their corresponding comments (blog threads) in English, structured around five topics and we divided them according to their polarity and subsequently summarized. Despite the difficulties of real Web data, the results obtained are encouraging; an average of 79% of the summaries is considered to be comprehensible. Our work allows the user to obtain a summary of the most relevant opinions contained in the blog. This allows them to save time and be able to look for information easily, allowing more effective searches on the Web.es
dc.description.sponsorshipThe research of Elena Lloret has been supported by the FPI grant (BES-2007-16268) from the Spanish Ministry of Science and Innovation, under the project TEXT-MESS (TIN2006-15265-C06-01). The research has been also partially founded by the European Commission under FP6project QALL-ME number IST-033860.es
dc.languageenges
dc.publisherINCOMAes
dc.subjectOpinion mininges
dc.subjectSentiment analysises
dc.subjectBlog postses
dc.subjectAutomatic summarizationes
dc.subject.otherLenguajes y Sistemas Informáticoses
dc.titleSummarizing threads in blogs using opinion polarityes
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.peerreviewedsies
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2009_Balahur_eETTs.pdf223,54 kBAdobe PDFOpen Preview
Show simple item record


Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.