Abstract
Purpose: The main goal of this paper is to provide a keyword analysis in big data (the KCI data from 2012 to 2022). For this, we collected 736 KCI papers in connection with English education by using the biblio data collector and analyzed them in term of the software package NetMiner. With respect to the frequency of words occurred in 736 KCI articles, it is worth noting that the word English was the most widely used (2,969 tokens) by authors, followed by the word education (2,762 tokens), the word study (1,512 tokens), the word student (1,353 tokens), the word teacher (1,317 tokens), the word language (715 tokens), the word research (691 tokens), the word school (659 tokens), the word result (519 tokens), and the word learning (501 tokens), in descending order. When it comes to the 1st keyword, the word English was the most widely used one, followed by the word education and the word student, in that order. It is interesting to point out, on the other hand, that the word English was the most widely used one in articles. It occurred in 674 articles. This in turn implies that the word English was the most preferred by authors. Finally, this paper clearly shows that the word English is indirectly linked to education, study, and student. More interestingly, the words system, competence, program, policy, development, interview, factor, language, etc. are directly linked to education.
Keywords
keyword, degree, big data, frequency, topic, visualization.