Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project
Year: 2017
Type: article
Abstract: The purpose of this article is to use business intelligence techniques to analyse articles in an issue (Volume 2, Issue 5) of the journal „Economics and Computer Science". Since business intelligence methods are many, the research is limited to text mining methods. The research aim is to find terminology which is common for all articles in one issue of the journal. Since the journal has published several thematic issues, it is a research que stions to find ontologies in each thematic issue. Rapid Miner is used as a software tool to conduct the text mining techniques. The most frequently used terms are found by Rapid Miner. A manual thematic classification of terms is done. The main groups are: educational, research and software. The proposed methodology may be used by other authors for other surveys in different thematic content.
Source: Ekonomiczne Problemy Usług
Authors: Julian Vasilev, Nataliya Marinova
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $135
OpenAlex ID: W2765291572