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Description
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: | https://doi.org/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 |