Autor/es de la URV: Kostov, Belchin Pagès, Jérôme Bécue-Bertaut, Mónica
Palabras clave: Aggregated lexical tables, textual analysis, free-text answers, social marketing
Resumen: This work proposes an original textual statistical method to uncover the relationships between opinions, expressed as free-text answers, and respondents’ characteristics. This method also identifies the specific links between each characteristic and certain words used in these answers. Promising results are obtained as shown by an application to real data collected to know what health means for non-experts, essential knowledge for effective public health interventions.
Año de publicación de la revista: 2014
Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article