Segmenting Chinese Texts into Words for Semantic Network Analysis

Segmenting Chinese Texts into Words for Semantic Network Analysis

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...

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Main Author: James A. Danowski
Format: Article
Language:English
Published: World Association for Triple Helix and Future Strategy Studies 2017-12-01
Series:Journal of Contemporary Eastern Asia
Subjects:
transnational studies
social capital
online sharing
sender-effect
young adults
Online Access:http://koreascience.or.kr/article/JAKO201706163144730.pdf
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spelling doaj-ae5a4b49c9dc43259926b3133b52e8e52020-11-25T02:19:30ZengWorld Association for Triple Helix and Future Strategy StudiesJournal of Contemporary Eastern Asia 2383-94492017-12-0116211014410.17477/jcea.2017.16.2.110Segmenting Chinese Texts into Words for Semantic Network AnalysisJames A. Danowski0Department of Communication, University of Illinois at ChicagoUnlike 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.http://koreascience.or.kr/article/JAKO201706163144730.pdftransnational studiessocial capitalonline sharingsender-effectyoung adults
collection DOAJ
language English
format Article
sources DOAJ
author James A. Danowski
spellingShingle James A. Danowski
Segmenting Chinese Texts into Words for Semantic Network Analysis
Journal of Contemporary Eastern Asia
transnational studies
social capital
online sharing
sender-effect
young adults
author_facet James A. Danowski
author_sort James A. Danowski
title Segmenting Chinese Texts into Words for Semantic Network Analysis
title_short Segmenting Chinese Texts into Words for Semantic Network Analysis
title_full Segmenting Chinese Texts into Words for Semantic Network Analysis
title_fullStr Segmenting Chinese Texts into Words for Semantic Network Analysis
title_full_unstemmed Segmenting Chinese Texts into Words for Semantic Network Analysis
title_sort segmenting chinese texts into words for semantic network analysis
publisher World Association for Triple Helix and Future Strategy Studies
series Journal of Contemporary Eastern Asia
issn 2383-9449
publishDate 2017-12-01
description 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.
topic transnational studies
social capital
online sharing
sender-effect
young adults
url http://koreascience.or.kr/article/JAKO201706163144730.pdf
work_keys_str_mv AT jamesadanowski segmentingchinesetextsintowordsforsemanticnetworkanalysis
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