A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation

Joao Costa, M. Besher Massri, Marko Grobelnik, Ignacio Casals del Busto, Dale Weston

Open source

DOI: 10.12688/openreseurope.14471.2
Published: 2023-12-07
Container: Open Research Europe
Publisher: F1000 Research Ltd
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.12688/openreseurope.14471.2,
  title = {A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation},
  author = {Joao Costa and M. Besher Massri and Marko Grobelnik and Ignacio Casals del Busto and Dale Weston},
  year = {2023},
  journal = {Open Research Europe},
  doi = {10.12688/openreseurope.14471.2},
  url = {https://doi.org/10.12688/openreseurope.14471.2}
}

RIS

TY  - JOUR
TI  - A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation
AU  - Joao Costa
AU  - M. Besher Massri
AU  - Marko Grobelnik
AU  - Ignacio Casals del Busto
AU  - Dale Weston
PY  - 2023
JO  - Open Research Europe
DO  - 10.12688/openreseurope.14471.2
UR  - https://doi.org/10.12688/openreseurope.14471.2
ER  -

APA

Costa, J., Massri, M. B., Grobelnik, M., Busto, I. C. D., & Weston, D. (2023). A data-driven global observatory addressing worldwide challenges through text mining and complex data visualisation. Open Research Europe. https://doi.org/10.12688/openreseurope.14471.2

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crossref · retrieved 2026-09-27T00:37:24.347Z