The analysis of journals topics and trend: text mining and word cloud

Baeg, Jung Hoon

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https://hdl.handle.net/2142/89376 Copy

Description

Title

The analysis of journals topics and trend: text mining and word cloud

Author(s)

Baeg, Jung Hoon

Issue Date

2016-03-15

Keyword(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.

Publisher

iSchools

Series/Report Name or Number

IConference 2016 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/89376

DOI

https://doi.org/10.9776/16578

Copyright and License Information

Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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