Application of Text Mining in the Analysis of Relations between Military Units and Local Government Units

Stanislaw Sirko, Marzena Piotrowska-Trybull and Henryk Wojtaszek

European Research Studies Journal, 2020, vol. XXIII, issue 4, 430-447

Abstract: Purpose: The aim of this article is to determine how the local governments of medium-sized cities see a military unit located on their territory in the context of its participation in social and economic processes. Design/Methodology/Approach: The article presents the results of a research carried out using the diagnostic survey method, utilising the interview technique. For the analysis of the collected material and presentation of the results, the methods of Text mining as well as R v.3.6.1 program and RStudio editor were used. Findings: The use of text mining for the analysis of links between military units and local government units allowed to deepen the knowledge on the significance given by local government representatives to the presence of the army and its impact on socio-economic processes in specific territorial units. Practical Implications: The results of the research can be used in designing local development strategies and creating conditions for local agents to work together for development. In addition, they can be used to better understand the links between local governments and military units, by decision makers at the central level. Originality/Value: The results of the research indicate the possibility of using text mining for the analysis of complex links identified between entities on the territory of communes. Text mining allows to combine a qualitative and quantitative approach, in the context of identifying the impact of individual entities on the development of the commune and creating meanings in the process of interaction between entities located on its territory.

Keywords: Military units; local government; development challenges; Text mining. (search for similar items in EconPapers)
JEL-codes: J18 J53 R11 R58 (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxiii:y:2020:i:4:p:430-447

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