Sentiment polarity detection

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.

Until now most of the published methods for polarity classification have been applied to English texts, but other languages are becoming increasingly important. This paper presents a new resource for the Spanish sentiment analysis research community. We have generated a new lexicon by translating into Spanish the Bin Liu English Lexicon. In order to assess the validity of the proposed lexicon a set of experiments on a Spanish review corpus are presented. In addition, the resource presented is compared with another existing Spanish lexicon.