Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining

Abstract

Text mining is one of the branches of data mining and is used to find any meaningful information from the large of text. In this study, we analyzed titles and keywords of two SCI journals on rock engineering by using text mining to find major research area, trend and associations of research fields. Visualization of the results was also included for the intuitive understanding of the results. Two journals showed similar research fields but different patterns in the associations among research fields. IJRMMS showed simple network, that is one big group based on the keyword ‘rock’ with a few small groups. On the other hand, RMRE showed a complex network among various medium groups. Trend analysis by clustering and linear regression of keyword – year frequency matrix provided that most of the keywords increased in number as time goes by except a few descending keywords.