Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Cortez, P., Moro, S., Rita, P., King, D. & Hall, J. (2018). Insights from a text mining survey on Expert Systems research from 2000 to 2016. Expert Systems. 35 (3)
Exportar Referência (IEEE) 
P. Cortez et al.,  "Insights from a text mining survey on Expert Systems research from 2000 to 2016", in Expert Systems, vol. 35, no. 3, 2018
Exportar BibTeX 
@article{cortez2018_1713578396810,
	author = "Cortez, P. and Moro, S. and Rita, P. and King, D. and Hall, J.",
	title = "Insights from a text mining survey on Expert Systems research from 2000 to 2016",
	journal = "Expert Systems",
	year = "2018",
	volume = "35",
	number = "3",
	doi = "10.1111/exsy.12280",
	url = "https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12280"
}
Exportar RIS 
TY  - JOUR
TI  - Insights from a text mining survey on Expert Systems research from 2000 to 2016
T2  - Expert Systems
VL  - 35
IS  - 3
AU  - Cortez, P.
AU  - Moro, S.
AU  - Rita, P.
AU  - King, D.
AU  - Hall, J.
PY  - 2018
SN  - 0266-4720
DO  - 10.1111/exsy.12280
UR  - https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12280
AB  - This study presents a literature analysis using a semiautomated text mining and topic modelling approach of the body of knowledge encompassed in 17 years (2000–2016) of literature published in the Wiley's Expert Systems journal, a key reference in Expert Systems (ESs) research, in a total of 488 research articles. The methodological approach included analysing countries from authors' affiliations, with results emphasizing the relevance of both U.S. and U.K. researchers, with Chinese, Turkish, and Spanish holding also a significant relevance. As a result of the sparsity found on the keywords, one of our goals became to devise a taxonomy for future submissions under 2 core dimensions: ESs' methods and ESs' applications. Finally, through topic modelling, data-driven methods were unveiled as the most relevant, pairing with evaluation methods in its application to managerial sciences, arts, and humanities. Findings also show that most of the application domains are well represented, including health, engineering, energy, and social sciences.
ER  -