Abstract versus Full Paper: A quantitative approach

Calipolitis Dimitri () and Pleştiu Carla
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Calipolitis Dimitri: The Bucharest University of Economic Studies, Romania
Pleştiu Carla: The Bucharest University of Economic Studies, Romania

Journal of Social and Economic Statistics, 2025, vol. 14, issue 1, 41-49

Abstract: The purpose of this article is to observe the differences between the words from selected papers and the terms from summaries or introductory chapters, that correspond with the selected papers, using quantitative methods. To test the above hypothesis, we took the terms from abstracts and introductory chapters, of three different type of papers (a scientific article, a literature book and a methodological study), and we compared them with the most frequent words from the selected papers. Furthermore, we also applied different methods from text mining, such as calculating the phi coefficient or checking compliance with a specific empirical law (Zipf, Heaps), to spot the existent dissimilarities. Following this analysis, it can be observed, from a quantitative point of view, that certain frequent words from the complete writings are found in their introductory components, present a fairly high frequency and outline the main ideas from the respective texts. This paper was co-financed by The Bucharest University of Economic Studies during the PhD program.

Keywords: text mining; pairwise correlation; quantitative methods; words frequency (search for similar items in EconPapers)
JEL-codes: C10 C12 C15 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:jsesro:v:14:y:2025:i:1:p:41-49:n:1003

DOI: 10.2478/jses-2025-0003

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