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

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

8 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2015 41st Latin American Computing Conference, CLEI 2015
EditoresAlex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781467391436
DOI
EstadoPublicada - 16 dic. 2015
Publicado de forma externa
Evento41st Latin American Computing Conference, CLEI 2015 - Arequipa, Perú
Duración: 19 oct. 201523 oct. 2015

Serie de la publicación

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

Conferencia

Conferencia41st Latin American Computing Conference, CLEI 2015
País/TerritorioPerú
CiudadArequipa
Período19/10/1523/10/15

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Publisher Copyright:
© 2015 IEEE.

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