Text mining of articles in an issue of the journal „Economics and Computer Science

Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project
Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project

Author(s): Julian A. Vasilev, Natalia Marinova
Subject(s): Economy, Business Economy / Management
Published by: Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
Keywords: ontology; text mining; Rapid Miner; the DIMBI project

Summary/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.

  • Issue Year: 126/2017
  • Issue No: 1/2
  • Page Range: 153-159
  • Page Count: 7
  • Language: Polish