Abstract—We have two aims in this study. The first one is to investigate differences of full and short papers in an academic conference. Full papers are supposed to contribute the field by providing with original outcome. Short papers, on the other hand, are considered to report ongoing specific research topics. We would like to know how these difference in characters appear in the papers, especially in their word usage. The results of this study should provide tips for writing valuable papers. The second aim of this study is to develop a methodology of analysis for investigating small data such as those we can collect individually. Our another research topic is to analyze educational data from our everyday university classes. The approach presented in this paper can be generalized and is applicable to other kinds of data analysis. As the result of the study in this paper, we recognize that short papers use technical words more frequently than full papers, which should reflect the characteristic difference of short and full papers.
Index Terms—Academic material, bibliometrics, data mining, feature finding, small data analysis.
Toshiro Minami and Yoko Ohura were with Kyushu Institute of Information Sciences, 6-3-1 Saifu, Dazaifu, Fukuoka 818-0117 Japan (e-mail: minamitoshiro@gmail.com, ohura@kiis.ac.jp).
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Cite: Toshiro Minami and Yoko Ohura, "An Analysis on Differences of Word Usage between Full and Short Conference Papers," International Journal of Knowledge Engineering vol. 6, no. 2, pp. 53-58, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (
CC BY 4.0).
