Insights from a text mining survey on Expert Systems research from 2000 to 2016
Corresponding Author
Paulo Cortez
ALGORITMI Research Centre, University of Minho, Braga, Portugal
Correspondence
Paulo Cortez, ALGORITMI Research Centre, University of Minho, 4710-057 Braga, Portugal.
Email: [email protected]
Search for more papers by this authorSérgio Moro
ISTAR-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal
ALGORITMI Research Centre, University of Minho, Braga, Portugal
Search for more papers by this authorPaulo Rita
CIS-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisbon, Portugal
Search for more papers by this authorDavid King
School of Computing and Communications, The Open University, Milton Keynes, UK
Search for more papers by this authorJon Hall
School of Computing and Communications, The Open University, Milton Keynes, UK
Search for more papers by this authorCorresponding Author
Paulo Cortez
ALGORITMI Research Centre, University of Minho, Braga, Portugal
Correspondence
Paulo Cortez, ALGORITMI Research Centre, University of Minho, 4710-057 Braga, Portugal.
Email: [email protected]
Search for more papers by this authorSérgio Moro
ISTAR-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal
ALGORITMI Research Centre, University of Minho, Braga, Portugal
Search for more papers by this authorPaulo Rita
CIS-IUL, Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Lisbon, Portugal
Search for more papers by this authorDavid King
School of Computing and Communications, The Open University, Milton Keynes, UK
Search for more papers by this authorJon Hall
School of Computing and Communications, The Open University, Milton Keynes, UK
Search for more papers by this authorAbstract
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.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
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