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

doi:10.1109/CLEI.2015.7360018

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 proceeding › Conference contribution › peer-review

9 Scopus citations

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 language	English
Title of host publication	Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015
Editors	Alex Cuadros-Vargas, Hector Cancela, Ernesto Cuadros-Vargas
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467391436
DOIs	https://doi.org/10.1109/CLEI.2015.7360018
State	Published - 16 Dec 2015
Externally published	Yes
Event	41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru Duration: 19 Oct 2015 → 23 Oct 2015

Publication series

Name	Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

Conference

Conference	41st Latin American Computing Conference, CLEI 2015
Country/Territory	Peru
City	Arequipa
Period	19/10/15 → 23/10/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Sentiment Analysis
Subjectivity Detection
Subjectivity Word Sense Disambiguation

Access to Document

10.1109/CLEI.2015.7360018

Cite this

Cabezudo, M. A. S., Palomino, N. L. S., & Perez, R. M. (2015). Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge. In A. Cuadros-Vargas, H. Cancela, & E. Cuadros-Vargas (Eds.), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015 Article 7360018 (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLEI.2015.7360018

Cabezudo, Marco Antonio Sobrevilla ; Palomino, Nora La Serna ; Perez, Rolando Maguiña. / Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge. Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. editor / Alex Cuadros-Vargas ; Hector Cancela ; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

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title = "Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge",

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.",

keywords = "Sentiment Analysis, Subjectivity Detection, Subjectivity Word Sense Disambiguation",

author = "Cabezudo, {Marco Antonio Sobrevilla} and Palomino, {Nora La Serna} and Perez, {Rolando Magui{\~n}a}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 41st Latin American Computing Conference, CLEI 2015 ; Conference date: 19-10-2015 Through 23-10-2015",

year = "2015",

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Cabezudo, MAS, Palomino, NLS & Perez, RM 2015, Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge. in A Cuadros-Vargas, H Cancela & E Cuadros-Vargas (eds), Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015., 7360018, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015, Institute of Electrical and Electronics Engineers Inc., 41st Latin American Computing Conference, CLEI 2015, Arequipa, Peru, 19/10/15. https://doi.org/10.1109/CLEI.2015.7360018

Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge. / Cabezudo, Marco Antonio Sobrevilla; Palomino, Nora La Serna; Perez, Rolando Maguiña.
Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. ed. / Alex Cuadros-Vargas; Hector Cancela; Ernesto Cuadros-Vargas. Institute of Electrical and Electronics Engineers Inc., 2015. 7360018 (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge

AU - Cabezudo, Marco Antonio Sobrevilla

AU - Palomino, Nora La Serna

AU - Perez, Rolando Maguiña

PY - 2015/12/16

Y1 - 2015/12/16

N2 - 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.

AB - 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.

KW - Sentiment Analysis

KW - Subjectivity Detection

KW - Subjectivity Word Sense Disambiguation

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T3 - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

BT - Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015

A2 - Cuadros-Vargas, Alex

A2 - Cancela, Hector

A2 - Cuadros-Vargas, Ernesto

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 October 2015 through 23 October 2015

ER -

Cabezudo MAS, Palomino NLS, Perez RM. Improving subjectivity detection for Spanish texts using subjectivity word sense disambiguation based on knowledge. In Cuadros-Vargas A, Cancela H, Cuadros-Vargas E, editors, Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7360018. (Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015). doi: 10.1109/CLEI.2015.7360018

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

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Keywords

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