Extracción de conocimiento con técnicas de minería de textos aplicadas a la psicología

Luciana Mariñelarena-Dondena, Marcelo Luis Errecalde, Alejandro Castro Solano

Resumen


La extracción de conocimiento en bases de datos es un proceso complejo que en última instancia busca darle sentido a los datos. La minería de datos sólo constituye una etapa de este proceso cuyo objetivo consiste en la obtención de patrones y modelos aplicando métodos estadísticos y técnicas de aprendizaje automático. El presente artículo de revisión examina cómo pueden aplicarse las técnicas de minería de textos en el campo de la psicología. En este contexto, se describen los dos grandes propósitos de las técnicas de minería de textos: la descripción y la predicción. Finalmente, se destaca que la aplicación de técnicas de minería de textos en nuestra disciplina hace posible la medición o evaluación de distintos constructos psicológicos, a diferencia de la utilización de los tradicionales cuestionarios o encuestas.

Palabras claveTécnicas de Minería de Textos, Ciencias de la Computación, Evaluación, Psicología

Knowledge discovery applying text mining techniques in Psychology. The knowledge discovery in databases (KDD) is concerned with the non-trivial process of making sense of data. Data mining is only a step in the KDD process that consists in pattern recognition using statistics and machine learning techniques. This literature review focuses on how text mining techniques can be applied in Psychology. In this context, the two main purposes of text mining techniques will be introduced: description and prediction. Finally, this paper highlights the use of text mining techniques as a psychological assessment tool, which differs from the use of standard questionnaires or scales.

Keywords: Text Mining Techniques, Computer Sciences, Assessment, Psychology


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Referencias


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