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Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1139
Title: Text, Content and Data Analysis of Journal Articles: The Field of International Relations
Authors: Koutsoupias, Nikos
Mikelis, Kyriakos
Type: Conference Paper
Subjects: FRASCATI::Social sciences
Keywords: Text Mining
Multiple Correspondence Analysis
Term Frequencies
Content Analysis
Content Analysis
International Relations
Issue Date: 15-Feb-2021
First Page: 113
Last Page: 120
Volume Title: Data Analysis and Rationality in a Complex World
Part of Series: Studies in Classification, Data Analysis, and Knowledge Organization
Part of Series: Studies in Classification, Data Analysis, and Knowledge Organization
Abstract: Term frequencies is the main, and occasionally, the only measure that springs out when mapping latent information in a text corpus. This paper addresses the issue of exploring a set of textual documents based on their metadata and term frequencies, by introducing the mixed use of text mining and data analysis methods for analyzing social science journal articles. In particular, this survey links the quantitative research of scientific discourse –through specific tools of data analysis– with research on the development of a scientific field, namely International Relations. Preliminary results on field related published journal articles demonstrate the effectiveness of the proposed methodology
URI: https://doi.org/10.1007/978-3-030-60104-1_13
https://ruomo.lib.uom.gr/handle/7000/1139
ISBN: 978-3-030-60103-4
978-3-030-60104-1
ISSN: 1431-8814
2198-3321
Other Identifiers: 10.1007/978-3-030-60104-1_13
Appears in Collections:Department of International and European Studies

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