| Přispěvatelé: |
Lahatte, Agénor, De Turckheim, Elisabeth, Chalumeau, Lucile |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
Proceedings of the 17th ISSI Conference. 2019; 17. International Conference on Scientometrics 1 Informetrics (ISSI 2019), Rome, ITA, 2019-09-02-2019-09-05 |
| Popis: |
A method for delineating the research area addressing a complex global problem is developed in a context where no core set of documents is available and where the objectives of the research are described as the production of broad knowledge related to societal outcomes. The method, entirely based on textual analysis has two steps: (a) multi-terms selected from a policy document are used to retrieve documents from a publication database, (b) a LDA topic model fitted to the retrieved corpus allows to identify irrelevant topics and to remove the corresponding documents. Once the corpus is cleaned, topics are clustered on the base of their semantic proximities and of their co-occurrence in documents for structuring the domain into main research themes. The method is applied to a selected facet of the food security challenge and provides a representative sample of research works in the domain. Structuring the corpus into six research themes allows to compare the thematic profiles and the research practices of twelve countries most involved in the domain. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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