{"title":"Text Mining of Wood Science Research Published in Korean and Japanese Journals","authors":"Eun-Suk Jang","doi":"10.5658/wood.2023.51.6.458","DOIUrl":null,"url":null,"abstract":"Text mining techniques provide valuable insights into research information across various fields. In this study, text mining was used to identify research trends in wood science from 2012 to 2022, with a focus on representative journals published in Korea and Japan. Abstracts from Journal of the Korean Wood Science and Technology (JKWST, 785 articles) and Journal of Wood Science (JWS, 812 articles) obtained from the SCOPUS database were analyzed in terms of the word frequency (specifically, term frequency-inverse document frequency) and co-occurrence network analysis. Both journals showed a significant occurrence of words related to the physical and mechanical properties of wood. Furthermore, words related to wood species native to each country and their respective timber industries frequently appeared in both journals. CLT was a common keyword in engineering wood materials in Korea and Japan. In addition, the keywords “MDF,” “MUF,” and “GFRP” were ranked in the top 50 in Korea. Research on wood anatomy was inferred to be more active in Japan than in Korea. Co-occurrence network analysis showed that words related to the physical and structural characteristics of wood were organically related to wood materials.","PeriodicalId":17357,"journal":{"name":"Journal of the Korean wood science and technology","volume":"125 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean wood science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5658/wood.2023.51.6.458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Text mining techniques provide valuable insights into research information across various fields. In this study, text mining was used to identify research trends in wood science from 2012 to 2022, with a focus on representative journals published in Korea and Japan. Abstracts from Journal of the Korean Wood Science and Technology (JKWST, 785 articles) and Journal of Wood Science (JWS, 812 articles) obtained from the SCOPUS database were analyzed in terms of the word frequency (specifically, term frequency-inverse document frequency) and co-occurrence network analysis. Both journals showed a significant occurrence of words related to the physical and mechanical properties of wood. Furthermore, words related to wood species native to each country and their respective timber industries frequently appeared in both journals. CLT was a common keyword in engineering wood materials in Korea and Japan. In addition, the keywords “MDF,” “MUF,” and “GFRP” were ranked in the top 50 in Korea. Research on wood anatomy was inferred to be more active in Japan than in Korea. Co-occurrence network analysis showed that words related to the physical and structural characteristics of wood were organically related to wood materials.
期刊介绍:
The Journal of the Korean Wood Science and Technology (JKWST) launched in 1973 as an official publication of the Korean Society of Wood Science and Technology has been served as a core of knowledges on wood science and technology. The Journal acts as a medium for the exchange of research in the area of science and technology related to wood, and publishes results on the biology, chemistry, physics and technology of wood and wood-based products. Research results about applied sciences of wood-based materials are also welcome. The Journal is published bimonthly, and printing six issues per year. Supplemental or special issues are published occasionally. The abbreviated and official title of the journal is ''J. Korean Wood Sci. Technol.''. All submitted manuscripts written in Korean or English are peer-reviewed by more than two reviewers. The title, abstract, acknowledgement, references, and captions of figures and tables should be provided in English for all submitted manuscripts.