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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) 
Cardoso, E. & Ribeiro, R. (2016). Looking back at the EUNIS repository data using text mining techniques. In Yiannis Salmatzidis (Ed.), EUNIS 2016: Crossroads where the past meets the future: EUNIS 22nd Annual Congress, Book of Proceedings. Thessaloniki
Exportar Referência (IEEE) 
E. A. Cardoso and R. D. Ribeiro,  "Looking back at the EUNIS repository data using text mining techniques", in EUNIS 2016: Crossroads where the past meets the future: EUNIS 22nd Annu. Congr., Book of Proc., Yiannis Salmatzidis, Ed., Thessaloniki, 2016
Exportar BibTeX 
@inproceedings{cardoso2016_1732418510781,
	author = "Cardoso, E. and Ribeiro, R.",
	title = "Looking back at the EUNIS repository data using text mining techniques",
	booktitle = "EUNIS 2016: Crossroads where the past meets the future: EUNIS 22nd Annual Congress, Book of Proceedings",
	year = "2016",
	editor = "Yiannis Salmatzidis",
	volume = "",
	number = "",
	series = "",
	publisher = "",
	address = "Thessaloniki",
	organization = "",
	url = "https://www.eunis.org/eunis2016/wp-content/uploads/sites/8/2016/05/EUNIS2016_Book_of_Proceedings.pdf"
}
Exportar RIS 
TY  - CPAPER
TI  - Looking back at the EUNIS repository data using text mining techniques
T2  - EUNIS 2016: Crossroads where the past meets the future: EUNIS 22nd Annual Congress, Book of Proceedings
AU  - Cardoso, E.
AU  - Ribeiro, R.
PY  - 2016
CY  - Thessaloniki
UR  - https://www.eunis.org/eunis2016/wp-content/uploads/sites/8/2016/05/EUNIS2016_Book_of_Proceedings.pdf
AB  - Topic modelling algorithms can be applied to a large collection of documents to uncover themes and their relationship, thus adding an automatic semantic layer to the archive of documents. In this work, topic modelling has been applied to the collection of papers published at the EUNIS (European University Information Systems) annual congresses from 1997 until 2015. Drawing on the initial work of (Wilson and Bergström, 2015), this paper extends the historical analysis of the conference proceedings with the application of text mining techniques to analyse the original texts. The performed analyses include the automatic identification of the most relevant topics and their evolution throughout the years for European University Information Systems, and the quantification of the degree of internationalization and cooperation of the EUNIS annual conference.
ER  -