Co-word analysis using the Chinese character set.
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| Title: | Co-word analysis using the Chinese character set. |
|---|---|
| Authors: | Leydesdorff, Loet1, Zhou, Ping2 |
| Source: | Journal of the American Society for Information Science & Technology. Jul2008, Vol. 59 Issue 9, p1528-1530. 3p. 1 Diagram. |
| Subjects: | Chinese character sets (Data processing), Scholarly periodicals, Chinese periodicals, Semantics, Chinese writing, Factor analysis |
| Abstract: | Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information but also meaning. This may enhance the readability of semantic maps. In this study, we analyze 58 words which occur 10 or more times in the 1,652 journal titles of the China Scientific and Technical Papers and Citations Database. The word-occurrence matrix is visualized and factor-analyzed. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 32625830 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Co-word analysis using the Chinese character set. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Leydesdorff%2C+Loet%22">Leydesdorff, Loet</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Ping%22">Zhou, Ping</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Jul2008, Vol. 59 Issue 9, p1528-1530. 3p. 1 Diagram. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Chinese+character+sets+%28Data+processing%29%22">Chinese character sets (Data processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Scholarly+periodicals%22">Scholarly periodicals</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+periodicals%22">Chinese periodicals</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink><br /><searchLink fieldCode="DE" term="%22Chinese+writing%22">Chinese writing</searchLink><br /><searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese texts makes it possible to analyze them using semantic maps. Chinese characters contain not only information but also meaning. This may enhance the readability of semantic maps. In this study, we analyze 58 words which occur 10 or more times in the 1,652 journal titles of the China Scientific and Technical Papers and Citations Database. The word-occurrence matrix is visualized and factor-analyzed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=32625830 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.20862 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 1528 Subjects: – SubjectFull: Chinese character sets (Data processing) Type: general – SubjectFull: Scholarly periodicals Type: general – SubjectFull: Chinese periodicals Type: general – SubjectFull: Semantics Type: general – SubjectFull: Chinese writing Type: general – SubjectFull: Factor analysis Type: general Titles: – TitleFull: Co-word analysis using the Chinese character set. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Leydesdorff, Loet – PersonEntity: Name: NameFull: Zhou, Ping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 15322882 Numbering: – Type: volume Value: 59 – Type: issue Value: 9 Titles: – TitleFull: Journal of the American Society for Information Science & Technology Type: main |
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