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Title:The analysis of journals topics and trend: text mining and word cloud
Author(s):Baeg, Jung Hoon
Subject(s):journal
text mining
R
word clouds
visualization
Abstract:The objective of this study is to identify the major topics over time of 4 selected journals in the field of Information Science and Library Science by analyzing word usage and the frequency with which certain words are used in the journal. A further objective is to determine the future direction of research in related subject areas. The basis of the study uses the program R to collect, text mine, and analyze a published article’s word usage and concepts that are represented in a word cloud. Four journals were selected and collected from Web of Science (Thomson Reuters). The journal selection considered the 5-Year Impact Factor, the journal’s aims and scope, and subject uniqueness. The journals that were selected are: Journal of the Association for Information Science and Technology, Journal of the American Medical Informatics Association, Journal of Documentation, and Scientometrics. A total 8,148 articles were collected and analyzed.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89376
DOI:10.9776/16578
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


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