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• W2170240246 abstract "In this paper we focus on unsupervised sentiment analysis in Spanish. The lack of resources for languages other than English, as for example Spanish, adds more complexity to the task. However, we take advantage of some good already existing lexical resources. We have carried out several experiments using different unsupervised approaches in order to compare the different methodologies for solving the problem of the Spanish polarity classification in a corpus of movie reviews. Among all these approaches, perhaps the newest one integrates SentiWordNet with the Multilingual Central Repository to tackle polarity detection directly over the Spanish corpus. However, the results obtained were not as promising as we expected, and so we carried out another group of experiments combining all the methods using meta-classifiers. The results obtained with stacking outperformed the individual experiments and encourage us to continue in this way." @default.
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• W2170240246 date "2014-05-19" @default.
• W2170240246 modified "2023-09-23" @default.
• W2170240246 title "Integrating Spanish lexical resources by meta-classifiers for polarity classification" @default.
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• W2170240246 doi "https://doi.org/10.1177/0165551514535710" @default.
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