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.
|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.|
|State||Published - 16 Dec 2015|
|Event||41st Latin American Computing Conference, CLEI 2015 - Arequipa, Peru|
Duration: 19 Oct 2015 → 23 Oct 2015
|Name||Proceedings - 2015 41st Latin American Computing Conference, CLEI 2015|
|Conference||41st Latin American Computing Conference, CLEI 2015|
|Period||19/10/15 → 23/10/15|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
- Sentiment Analysis
- Subjectivity Detection
- Subjectivity Word Sense Disambiguation