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
N1 - Publisher Copyright:
© 2015 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=84961875131&partnerID=8YFLogxK
U2 - 10.1109/CLEI.2015.7360018
DO - 10.1109/CLEI.2015.7360018
M3 - Conference contribution
AN - SCOPUS:84961875131
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.
T2 - 41st Latin American Computing Conference, CLEI 2015
Y2 - 19 October 2015 through 23 October 2015
ER -