- ENGLISH
- E-ISSN2383-9449
- SCOPUS
E-ISSN : 2383-9449
Segmenting Chinese Texts into Words for Semantic Network Analysis
Journal of Contemporary Eastern Asia / Journal of Contemporary Eastern Asia, (E)2383-9449
2017, v.16 no.2, pp.110-144
https://doi.org/https://doi.org/10.17477/jcea.2017.16.2.110
Danowski, James A.
(Department of Communication, University of Illinois at Chicago)
Danowski, James A..
(2017). Segmenting Chinese Texts into Words for Semantic Network Analysis. Journal of Contemporary Eastern Asia, 16(2), 110-144, https://doi.org/https://doi.org/10.17477/jcea.2017.16.2.110
Abstract
Unlike most languages, written Chinese has no spaces between words. Word segmentation must be performed before semantic network analysis can be conducted. This paper describes how to perform Chinese word segmentation using the Stanford Natural Language Processing group's Stanford Word Segmenter v. 3.8.0, released in June 2017.
- keywords
- Transnational Studies, Social capital, Online Sharing, Sender-effect, Young adults
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