Thematic Mapping of Circular Economy in Academic Literature (2020–2024): A Multilingual Analysis Using Text Mining
| dc.creator | Murcia Zorrilla, Claudia Patricia | |
| dc.creator | Sinisterra Diaz, María Mercedes | |
| dc.date | 2026-08-04 | |
| dc.date.accessioned | 2026-08-05T06:00:36Z | |
| dc.description | Objective: To identify and compare the main themes in circular economy in academic literature published between 2020 and 2024 by applying a multilingual approach to examine thematic differences across languages.Design/Methodology: The study was exploratory, adopted a quantitative approach, and employed text mining techniques. A corpus was compiled from the Crossref database, from which 120 scientific articles were initially retrieved. After applying the inclusion and exclusion criteria, 92 articles with abstracts in Spanish, English, and German were selected for analysis. The analysis involved linguistic processing, followed by the generation of word clouds for each language and the implementation of the Latent Dirichlet Allocation (LDA) model in R.Findings: The results revealed thematic differences across the three language corpora. The Spanish-language publications focused predominantly on waste management and the efficient use of resources. In contrast, the English-language texts emphasized sustainable design and systemic innovation, whereas the German-language corpus highlighted climate protection and energy efficiency. Overall, these findings show that the thematic emphasis of circular economy research varies depending on the language of publication.Conclusions: The analysis demonstrates that the circular economy topic is not addressed uniformly in the scientific literature. Instead, the identified differences reflect distinct patterns in the thematic organization of knowledge across the languages examined.Originality: This study makes a novel contribution by integrating multilingual thematic analysis with text mining techniques applied to academic literature. This approach enables a comparison of thematic structures across languages within a single document corpus. | en-US |
| dc.description | Objetivo: se identificaron y compararon los temas principales de la economía circular en la literatura académica publicada entre los años 2020 y 2024, teniendo en cuenta un enfoque multilingüe para examinar diferencias temáticas según el idioma.Diseño/metodología: la investigación se desarrolló como un estudio exploratorio, con enfoque cuantitativo y técnicas de minería de texto. El corpus se construyó a partir de la base de datos de Crossref, de donde se extrajeron 120 artículos científicos. Luego de aplicar diferentes criterios de inclusión y exclusión, se analizaron 92 artículos con resúmenes en español, inglés y alemán. El estudio incluyó procesamiento lingüístico, se generaron de nubes de palabras por idioma y se aplicó el modelo Latent Dirichlet Allocation (LDA), utilizando el lenguaje R.Resultados: existen diferencias temáticas entre los tres idiomas analizados. En los textos en español predominó el enfoque hacia la gestión de residuos y uso eficiente de recursos. En inglés se observó un énfasis en el diseño sostenible y la innovación sistémica. En alemán se identificó una atención en la protección climática y la eficiencia energética. Estos resultados muestran variaciones en el tratamiento temático de la economía circular según el idioma de publicación.Conclusiones: el análisis permite establecer que la economía circular no se aborda de manera homogénea en la literatura científica. Las diferencias identificadas corresponden a formas de organización temática del conocimiento según el idioma.Originalidad: el estudio aporta de manera novedosa al integrar el análisis temático multilingüe con técnicas de minería de texto aplicadas a la literatura académica. Este enfoque permite comparar la estructura temática entre idiomas en un mismo corpus documental. | es-ES |
| dc.format | application/pdf | |
| dc.identifier | https://revistas.itm.edu.co/index.php/revista-cea/article/view/3605 | |
| dc.identifier | 10.22430/24223182.3605 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12622/8199 | |
| dc.language | spa | |
| dc.publisher | Institución Universitaria ITM | en-US |
| dc.relation | https://revistas.itm.edu.co/index.php/revista-cea/article/view/3605/4199 | |
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| dc.rights | Copyright (c) 2026 Claudia Patricia Murcia Zorrilla, María Mercedes Sinisterra Diaz | en-US |
| dc.rights | https://creativecommons.org/licenses/by-nc-sa/4.0 | en-US |
| dc.source | Revista CEA; Vol. 12 No. 30 (2026); Art. e3605 | en-US |
| dc.source | Revista CEA; Vol. 12 Núm. 30 (2026); Art. e3605 | es-ES |
| dc.source | 2422-3182 | |
| dc.source | 2390-0725 | |
| dc.subject | cartografía temática | es-ES |
| dc.subject | estudio multilingüe | es-ES |
| dc.subject | literatura académica | es-ES |
| dc.subject | minería de texto | es-ES |
| dc.subject | economía circular | es-ES |
| dc.subject | thematic mapping | en-US |
| dc.subject | multilingual analysis | en-US |
| dc.subject | academic literature | en-US |
| dc.subject | text mining | en-US |
| dc.subject | circular economy | en-US |
| dc.title | Thematic Mapping of Circular Economy in Academic Literature (2020–2024): A Multilingual Analysis Using Text Mining | en-US |
| dc.title | Cartografía temática de la economía circular en literatura académica (2020-2024): estudio multilingüe con minería de texto | es-ES |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |