Abstract
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.
This work has been partially supported by a grant from the Fondo Europeo de Desarrollo Regional (FEDER), ATTOS project (TIN2012-38536-C03-0) from the Spanish Government. The project AORESCU (TIC - 07684) from the regional government of Junta de Andaluca partially supports this manuscript.
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References
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Molina-González, M.D., Martínez-Cámara, E., Martín-Valdivia, M.T., Ureña-López, L.A. (2014). Cross-Domain Sentiment Analysis Using Spanish Opinionated Words. In: Métais, E., Roche, M., Teisseire, M. (eds) Natural Language Processing and Information Systems. NLDB 2014. Lecture Notes in Computer Science, vol 8455. Springer, Cham. https://doi.org/10.1007/978-3-319-07983-7_28
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DOI: https://doi.org/10.1007/978-3-319-07983-7_28
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