A comparative study of positive and negative keywords based on text mining
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Oh, J.-W. | - |
dc.contributor.author | Lim, T.-J. | - |
dc.date.available | 2018-05-09T08:34:40Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 2185-2766 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/9680 | - |
dc.description.abstract | In writing a personal essay, it is crucial to put relevant keywords in the right places. Employing proper combinations of good keywords may leave a favorable impression on readers. On the other hand, misuse of keywords may result in a poor impression. This study analyzes keywords extracted from essays of passed and failed applicants to a management school. We apply text-mining functions provided by several R packages to examine critical factors related to the keywords. The frequency and structure of the keywords are investigated using association analysis techniques. According to the analysis, meaningful differences have been found in frequency, association and cluster of keywords between the group of essays that passed and those that failed. The methodology proposed in this study may be extended to other areas such as job interviews, marketing advertisements, an image makings. © 2015 ICIC International. | - |
dc.publisher | ICIC Express Letters Office | - |
dc.relation.isPartOf | ICIC Express Letters, Part B: Applications | - |
dc.subject | Association analysis | - |
dc.subject | Comparative studies | - |
dc.subject | Critical factors | - |
dc.subject | Job interviews | - |
dc.subject | Keyword analysis | - |
dc.subject | Personal essay | - |
dc.subject | Text mining | - |
dc.subject | Data mining | - |
dc.title | A comparative study of positive and negative keywords based on text mining | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | ICIC Express Letters, Part B: Applications, v.6, no.3, pp.665 - 671 | - |
dc.description.journalClass | 1 | - |
dc.identifier.scopusid | 2-s2.0-84924030065 | - |
dc.citation.endPage | 671 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 665 | - |
dc.citation.title | ICIC Express Letters, Part B: Applications | - |
dc.citation.volume | 6 | - |
dc.contributor.affiliatedAuthor | Lim, T.-J. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Association analysis | - |
dc.subject.keywordAuthor | Keyword analysis | - |
dc.subject.keywordAuthor | Personal essay | - |
dc.subject.keywordAuthor | R packages | - |
dc.subject.keywordAuthor | Text-mining | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.