Organ donation is the principal way to act the life-saving treatment of transplantation and Spain represents the best practice in this field. The “Spanish model” in organ donation is spread in different countries, but with lower results. probably other elements can affect the primacy of Spain in this field. More of all, culture can be taken into consideration as the assumption of values on a specific theme, showing how it is emotionally categorized. In this paper, we analyzed two of the most popular Spanish newspapers through emotional Text Mining (eTM), an unsupervised and bottom-up procedure. We collected all the articles (n= 517) published between 2001-2021 containing the keyword “donacion de organos”. results show a factorial space composed of 5 clusters and 4 factors. The first factor, “The process”, designates a circle, from the family to the patient. The second one, the “Spanish healthcare”, describes the excellence and the State. The third one describes the “Transformation”, between the public progress and keep-saving life. The last factor talks about the “Demand-offer Model”. The first cluster, “person as oNT’s principle”, underlines the important role of the single citizen. The second cluster represents the “Citizen as center of Institution”. The third cluster talks about the “Spanish model in the world”. The fourth cluster highlights the “Donation as national project”. finally, the fifth cluster represents “The time problem”. The application of eTM in this work showed important representations of the culture of organ donation in Spain.

Using Emotional Text Mining to explore the Spanish culture of Organ Donation / Monaco, Silvia; Cortellino, Anna; Greco, Francesca; DI TRANI, Michela. - 2:(2022), pp. 607-612. (Intervento presentato al convegno JADT 2022: 16th International Conference on Statistical Analysis of Textual Data tenutosi a Napoli).

Using Emotional Text Mining to explore the Spanish culture of Organ Donation

Silvia Monaco;francesca Greco;Michela Di Trani
2022

Abstract

Organ donation is the principal way to act the life-saving treatment of transplantation and Spain represents the best practice in this field. The “Spanish model” in organ donation is spread in different countries, but with lower results. probably other elements can affect the primacy of Spain in this field. More of all, culture can be taken into consideration as the assumption of values on a specific theme, showing how it is emotionally categorized. In this paper, we analyzed two of the most popular Spanish newspapers through emotional Text Mining (eTM), an unsupervised and bottom-up procedure. We collected all the articles (n= 517) published between 2001-2021 containing the keyword “donacion de organos”. results show a factorial space composed of 5 clusters and 4 factors. The first factor, “The process”, designates a circle, from the family to the patient. The second one, the “Spanish healthcare”, describes the excellence and the State. The third one describes the “Transformation”, between the public progress and keep-saving life. The last factor talks about the “Demand-offer Model”. The first cluster, “person as oNT’s principle”, underlines the important role of the single citizen. The second cluster represents the “Citizen as center of Institution”. The third cluster talks about the “Spanish model in the world”. The fourth cluster highlights the “Donation as national project”. finally, the fifth cluster represents “The time problem”. The application of eTM in this work showed important representations of the culture of organ donation in Spain.
2022
JADT 2022: 16th International Conference on Statistical Analysis of Textual Data
organ donation; emotional text mining; newspapers; culture; Spain
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Using Emotional Text Mining to explore the Spanish culture of Organ Donation / Monaco, Silvia; Cortellino, Anna; Greco, Francesca; DI TRANI, Michela. - 2:(2022), pp. 607-612. (Intervento presentato al convegno JADT 2022: 16th International Conference on Statistical Analysis of Textual Data tenutosi a Napoli).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1656360
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