Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project
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 resear...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wydawnictwo Naukowe Uniwersytetu Szczecińskiego
2017-01-01
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| Series: | Ekonomiczne Problemy Usług |
| Subjects: | |
| Online Access: | https://wnus.edu.pl/epu/pl/issue/523/article/6604/ |
| _version_ | 1819071720460386304 |
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| author | Julian Vasilev Nataliya Marinova |
| author_facet | Julian Vasilev Nataliya Marinova |
| author_sort | Julian Vasilev |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T17:26:19Z |
| format | Article |
| id | doaj.art-d76cd478c1884e32a43b3d01f882bb36 |
| institution | Directory Open Access Journal |
| issn | 1896-382X 2353-2866 |
| language | English |
| last_indexed | 2024-12-21T17:26:19Z |
| publishDate | 2017-01-01 |
| publisher | Wydawnictwo Naukowe Uniwersytetu Szczecińskiego |
| record_format | Article |
| series | Ekonomiczne Problemy Usług |
| spelling | doaj.art-d76cd478c1884e32a43b3d01f882bb362022-12-21T18:56:03ZengWydawnictwo Naukowe Uniwersytetu SzczecińskiegoEkonomiczne Problemy Usług1896-382X2353-28662017-01-0112610.18276/epu.2017.126/2-16Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI projectJulian Vasilev0Nataliya Marinova1University of Economics Varn a Department of InformaticsD. Tsenov Academy of Economics Svishtov Department of Business InformaticsThe 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.https://wnus.edu.pl/epu/pl/issue/523/article/6604/ontologytext miningRapid Minerthe DIMBI project |
| spellingShingle | Julian Vasilev Nataliya Marinova Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project Ekonomiczne Problemy Usług ontology text mining Rapid Miner the DIMBI project |
| title | Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project |
| title_full | Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project |
| title_fullStr | Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project |
| title_full_unstemmed | Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project |
| title_short | Text mining of articles in an issue of the journal „Economics and Computer Science" dedicated on the DIMBI project |
| title_sort | text mining of articles in an issue of the journal economics and computer science dedicated on the dimbi project |
| topic | ontology text mining Rapid Miner the DIMBI project |
| url | https://wnus.edu.pl/epu/pl/issue/523/article/6604/ |
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