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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Sociedad Española para el Procesamiento del Lenguaje Natural
2017
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=515754426012 |
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Sommario:
- Analysis of patient satisfaction in Dutch and Spanish online reviews Salud María Jiménez-Zafra M. Teresa Martín-Valdivia Isa Maks Rubén Izquierdo Computación opener medical domain patient opinion corpus Polarity classification Sentiment Analysis is a well-known task of Natural Language Processing that has been studied in different domains such as movies, phones or hotels. However, other areas like medical domain remain yet unexplored. In this paper we study different polarity classification techniques applied on health domain. We present a corpus of patient reviews composed by a Dutch part (COPOD: Corpus of Patient Opinions in Dutch) and a Spanish part (COPOS: Corpus of Patient Opinions in Spanish). Experiments have been carried out using a supervised method (SVM), a cross-domain method (OpeNER) and a dictionary lookup method for both languages. Obtained results overcome the baseline in almost all the cases and are higher than other polarity classifiers in patient domain. Regarding the bilingualism, the developed systems for Dutch and Spanish have a similar performance for F1-measure and Accuracy. 2017 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515754426012 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.58