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Cross-Domain Sentiment Analysis Using Spanish Opinionated Words

2014; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-07983-7_28

1611-3349

M. Dolores Molina-González, Eugenio Martínez‐Cámara, María Teresa Martín Valdivia, Luís Alfonso Ureña López,

Topic Modeling

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.