基于文本挖掘的两种SCI岩石工程期刊关键词分析

Y. Jung, E. Park
{"title":"基于文本挖掘的两种SCI岩石工程期刊关键词分析","authors":"Y. Jung, E. Park","doi":"10.7474/TUS.2015.25.4.303","DOIUrl":null,"url":null,"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.","PeriodicalId":437780,"journal":{"name":"Journal of Korean Society for Rock Mechanics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining\",\"authors\":\"Y. Jung, E. Park\",\"doi\":\"10.7474/TUS.2015.25.4.303\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":437780,\"journal\":{\"name\":\"Journal of Korean Society for Rock Mechanics\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Society for Rock Mechanics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7474/TUS.2015.25.4.303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Society for Rock Mechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7474/TUS.2015.25.4.303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

文本挖掘是数据挖掘的一个分支,用于从大量文本中发现任何有意义的信息。本研究采用文本挖掘的方法,对两本SCI岩石工程类期刊的标题和关键词进行分析,找出主要研究领域、研究趋势和研究领域的关联。还包括结果的可视化,以便直观地理解结果。两种期刊的研究领域相似,但研究领域之间的关联模式不同。IJRMMS显示了一个简单的网络,即一个基于关键词“摇滚”的大团体和一些小团体。另一方面,RMRE在不同媒介组之间呈现复杂的网络。对关键词-年频率矩阵进行聚类和线性回归的趋势分析表明,除了少数关键词下降外,大多数关键词的数量随时间增长而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Keyword Analysis of Two SCI Journals on Rock Engineering by using Text Mining
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信