VOlUME 05 ISSUE 10 OCTOBER 2022
Namkil Kang
Far East University,South Korea
DOI : https://doi.org/10.47191/ijsshr/v5-i10-26Google Scholar Download Pdf
ABSTRACT
The main goal of this article is to analyze 688 KCI (Korea Citation Index) articles in terms of the Biblio data collector and the software package NetMiner. A point to note is that there was a publication of 33 KCI articles in December in 2020, which have the highest frequency (33 articles) and the highest proportion (0.048). A further point to note is that the word study was the most frequently used keyword, followed by the word Corpus, and the word verb, in that order. It is interesting to note that topic 6 that is constituted by the words learner, English, study, verb, and student occurred in 125 articles (the highest). It is noteworthy that topic 6 was the most preferred by authors, followed by topic 5, topic1, and topic 8. With respect to degree (the frequency of documents), it is worthwhile noting that the word study was the most preferred by authors, followed by the word Corpus, the word result, the word analysis, and the word corpus. Finally, this article provides the visualization of which words are linked to the word corpus. To be more specific, the words language, student, translation and the Korean word malmwungchi ‘corpus’ are directly linked to the word corpus
KEY WORDS:big data, KCI, topic, keyword, visualization, NetMiner
REFERENCES
1) Kang, N. (2022a). A Comparative Analysis of Search for and Look for in Four Corpora. Advances in Social Sciences Research Journal 9 (3): 168-178.
2) Kang, N. (2022b). A Comparative Analysis of Impressed by and Impressed with in Two Corpora. Theory and Practice in Language Studies 12 (5): 819-827.
3) Kang, N. (2022c). On Speak to and Talk to: A Corpora-based Analysis. Theory and Practice in Language Studies 12 (7):1262-1270.
4) Kang, N. (2022d). On Speak with and Talk with: A Corpora-based Analysis. International Journal of Social Science and Human Research 5 (8): 3354-3360.