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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Cross-Domain Sentiment Analysis Using Spanish Opinionated Words
verfasst von : M. Dolores Molina-González, Eugenio Martínez-Cámara, M. Teresa Martín-Valdivia, L. Alfonso Ureña-López
Erschienen in: Natural Language Processing and Information Systems
Verlag: Springer International Publishing
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A common issue of most of NLP tasks is the lack of linguistic resources in languages different from English. In this paper is described a new corpus for Sentiment Analysis composed by hotel reviews written in Spanish. We use the corpus to carry out a set of experiments for unsupervised polarity detection using different lexicons. But, in addition, we want to check the adaptability to a domain for the lists of opinionated words. The obtained results are very promising and encourage us to continue investigating in this line.