Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge

Marco Antonio Sobrevilla Cabezudo, Nora La Serna Palomino, Rolando Maguiña Perez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we present a Sentence-level Subjectivity Detection method for Spanish using Subjectivity Word Sense Disambiguation (SWSD) based on Knowledge. We use a classic method of Word Sense Disambiguation, using the Spanish WordNet included in Mutlilingual Central Repository 3.0 and the WordNet-Pr as Knowledge base. Because of the alignment between the WordNet and the SentiWordNet, we use this latter as semantic resource annotated with polarity values to determine when a word expresses subjectivity and objectivity, defining subjectivity levels using a fuzzy clustering algorithm previously. Due to the few resources focused on Sentiment Analysis for Spanish, the Semcor corpus was used for analyzing the attributes to be used. Finally, a Rule-based classifier was created to detect subjective sentences. This method was executed over a Spanish corpus, created in this work. The results show that our approach contributes positively to Subjectivity Detection task, despite of using resources created for English.

Original languageEnglish
Title of host publicationProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditorsAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467391436
DOIs
StatePublished - 16 Dec 2015
Externally publishedYes
Event41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru
Duration: 19 Oct 201523 Oct 2015

Publication series

NameProceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference41st Latin American Computing Conference, CLEI 2015
Country/TerritoryPeru
CityArequipa
Period19/10/1523/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Sentiment Analysis
  • Subjectivity Detection
  • Subjectivity Word Sense Disambiguation

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