Frequency analysis of scientific texts on the hypoxia using bibliographic data SCOPUS KCI

Title
Frequency analysis of scientific texts on the hypoxia using bibliographic data
Author(s)
Lee, G.S.; Lee, J.Y.; Cho, H.Y.
KIOST Author(s)
Lee, Gi Seop(이기섭)Cho, Hong Yeon(조홍연)
Publication Year
2019
Abstract
The frequency analysis of scientific terms using bibliographic information is a simple concept, but as relevant data become more widespread, manual analysis of all data is practically impossible or only possible to a very limited extent. In addition, as the scale of oceanographic research has expanded to become much more comprehensive and widespread, the allocation of research resources on various topics has become an important issue. In this study, the frequency analysis of scientific terms was performed using text mining. The data used in the analysis is a general-purpose scholarship database, totaling 2,878 articles. Hypoxia, which is an important issue in the marine environment, was selected as a research field and the frequencies of related words were analyzed. The most frequently used words were ‘Organic matter’, ‘Bottom water’, and ‘Dead zone’ and specific areas showed high frequency. The results of this research can be used as a basis for the allocation of research resources to the frequency of use of related terms in specific fields when planning a large research project represented by single word. © 2019, Korea Ocean Research and Development Institute. All rights reserved.
ISSN
1598-141X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/736
DOI
10.4217/OPR.2019.41.2.107
Bibliographic Citation
Ocean and Polar Research, v.41, no.2, pp.107 - 120, 2019
Publisher
Korea Ocean Research and Development Institute
Subject
bibliography; conceptual framework; data mining; database; frequency analysis; oceanography; terminology
Keywords
Bibliographic data; Data mining; Hypoxia; Text mining
Type
Article
Language
Korean
Document Type
Article
Publisher
Korea Ocean Research and Development Institute
Related Researcher
Research Interests

coastal numerical modeling,statistical modeling,uncertainty analysis,연안수치모델링,해양통계모델링,불확실성 분석

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