COPOS: Corpus Of Patient Opinions in Spanish. Application of Sentiment Analysis Techniques

• Autores: Salud M. Jiménez Zafra , Eugenio Martínez Cámara , Flor Miriam Plaza del Arco , M. Dolores Molina González, María Teresa Martín Valdivia
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 57, 2016, págs. 83-90
• Idioma: inglés
• Títulos paralelos:
  • COPOS: Corpus de Opiniones de Pacientes en Español. Aplicación de Técnicas de Análisis de Sentimientos
• Enlaces
  • Texto completo
• Dialnet Métricas: 3 Citas
• Resumen
  • español

    Cada día son más los usuarios interesados en la opinión que otros pacientes tienen sobre un médico o sobre temas de salud en general. De acuerdo con un estudio de 2015, el 62% de la población española consulta información en Internet acerca de temas relacionados con la salud. Este trabajo está centrado en el Análisis de Sentimientos en español aplicado al dominio médico. Aunque el Análisis de Sentimientos ha sido estudiado en diferentes dominios, el dominio de la salud apenas ha sido investigado, especialmente en opiniones escritas en español. Por ello, hemos generado un corpus en español con opiniones de pacientes sobre médicos a partir de la extracción de las mismas del portal web Masquemedicos. Este corpus ha sido denominado COPOS (Corpus Of Patient Opinions in Spanish - Corpus de Opiniones de Pacientes en Español). Hasta donde sabemos, es la primera vez que se intenta trabajar con opiniones en español sobre atención médica escritas por pacientes. Para demostrar la validez de este recurso, hemos realizado diferentes experimentos con las principales metodologías aplicadas en la tarea de clasificación de polaridad (Orientación Semántica y Aprendizaje Automático). Los resultados obtenidos nos animan a seguir investigando en el Análisis de Sentimientos en este dominio.

  • English

    Every day more users are interested in the opinion that other patients have about a physician or about health topics in general. According to a study in 2015, 62% of Spanish people access the Internet in order to be informed about topics related to health. This paper is focused on Spanish Sentiment Analysis in the medical domain. Although Sentiment Analysis has been studied for different domains, health issues have hardly been examined in Opinion Mining and even less with Spanish comments or opinions. Thus we have generated a corpus by crawling the website Masquemedicos with Spanish opinions about medical entities written by patients. We present this new resource, called COPOS (Corpus Of Patient Opinions in Spanish). To the best of our knowledge, this is the first attempt to deal with Spanish opinions written by patients about medical attention. In order to demonstrate the validity of the corpus presented, we have also carried out different experiments with the main methodologies applied in polarity classification (Semantic Orientation and Machine Learning). The results obtained encourage us to continue analysing and researching Opinion Mining in the medical domain.

• Referencias bibliográficas
  • Bobicev, V., M. Sokolova, Y. Jafer, and D. Schramm. 2012. Learning sentiments from tweets with personal health information. In Proceedings...
  • Bobicev, V., M. Sokolova, and M. Oakes. 2015. What goes around comes around: Learning sentiments in online medical forums. Cognitive Computation,...
  • Chapman, W. W., P. M. Nadkarni, L. Hirschman, L. W. D’Avolio, G. K. Savova, and O. Uzuner. 2011. Overcoming barriers to nlp for clinical text:...
  • Chew, C. and G. Eysenbach. 2010. Pandemics in the age of twitter: Content analysis of tweets during the 2009 h1n1 outbreak. PLoS ONE, 5(11):e14118,...
  • Cortes, C. and V. Vapnik. 1995. Supportvector networks. Mach. Learn., 20(3):273–297, September.
  • Denecke, K. and Y. Deng. 2015. Sentiment analysis in medical settings: New opportunities and challenges. Artificial Intelligence in Medicine,...
  • Deng, Y., M. Stoehr, and K. Denecke. 2014. Retrieving attitudes: Sentiment analysis from clinical narratives. pages 12–15.
  • Díaz-Galiano, M. C., M. Martín-Valdivia, and L. A. Ureña López. 2009. Query expansion with a medical ontology to improve a multimodal information...
  • Fox, S. 2011. The social life of health information, 2011. Technical report, PewResearchCenter, May.
  • Friedman, C., T. C. Rindflesch, and M. Corn. 2013. Natural language processing: State of the art and prospects for significant progress, a...
  • Greaves, F., D. Ramirez-Cano, C. Millett, A. Darzi, and L. Donaldson. 2013. Use of sentiment analysis for capturing patient experience from...
  • Lee, M., J. Cimino, H. R. Zhu, C. Sable, V. Shanker, J. Ely, and H. Yu. 2006. Beyond information retrieval — medical question answering. In...
  • Liu, B. 2012. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies, 5(1):1–167.
  • Martí-Valdivia, M. T., M. C. Dı́az-Galiano, A. Montejo-Raez, and L. A. Ureña López. 2008. Using information gain to improve multi-modal...
  • Martíez Cámara, E., M. T. Martí Valdivia, J. M. Perea Ortega, and L. A. Ureña López. 2011. Técnicas de clasificación de opiniones...
  • Molina-González, M. D., E. MartíezCámara, M. T. Martí-Valdivia, and J. M. Perea-Ortega. 2013. Semantic orientation for polarity classification...
  • Müller, H., A. García Seco de Herrera, J. Kalpathy-Cramer, D. Demner Fushman, S. Antani, and I. Eggel. 2012. Overview of the ImageCLEF 2012...
  • Niu, Y., X. Zhu, J. Li, and G. Hirst. 2005. Analysis of polarity information in medical text. In AMIA 2005, American Medical Informatics Association...
  • Palotti, J. R. M., G. Zuccon, L. Goeuriot, L. Kelly, A. Hanbury, G. J. F. Jones, M. Lupu, and P. Pecina. 2015. CLEF ehealth evaluation lab...
  • Pang, B., L. Lee, and S. Vaithyanathan. 2002. Thumbs up?: Sentiment classification using machine learning techniques. In Proceedings of the...
  • Sarker, A., D. Molla, and C. Paris. 2011. Outcome polarity identification of medical papers. In Proceedings of the Australasian Language Technology...
  • Sokolova, M. and V. Bobicev. 2013. What sentiments can be found in medical forums? In Proceedings of the International Conference Recent Advances...
  • Turney, P. D. 2002. Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. In Proceedings of the...
  • Wei, C.-H., Y. Peng, R. Leaman, A. P. Davis, C. J. Mattingly, J. Li, T. C. Wiegers, and Z. Lu. 2015. Overview of the biocreative v chemical...