KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS
Master's
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sg-nus-scholar.10635-2447692024-04-03T00:26:00Z KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS GAO WENHAN STATISTICS AND DATA SCIENCE David John Nott Ying Chen Topic Modelling, Text Mining, Text Analysis, LDA, Policy, Keywords, Master's MASTER OF SCIENCE (RSH-FOS) 2023-08-31T18:00:29Z 2023-08-31T18:00:29Z 2023-05-31 Thesis GAO WENHAN (2023-05-31). KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/244769 0009-0005-5108-9919 en |
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National University of Singapore |
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NUS Library |
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Asia |
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Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
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English |
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Topic Modelling, Text Mining, Text Analysis, LDA, Policy, Keywords, |
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Topic Modelling, Text Mining, Text Analysis, LDA, Policy, Keywords, GAO WENHAN KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
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Master's |
author2 |
STATISTICS AND DATA SCIENCE |
author_facet |
STATISTICS AND DATA SCIENCE GAO WENHAN |
format |
Theses and Dissertations |
author |
GAO WENHAN |
author_sort |
GAO WENHAN |
title |
KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
title_short |
KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
title_full |
KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
title_fullStr |
KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
title_full_unstemmed |
KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS |
title_sort |
keyword assisted topic modeling of chinese central government documents |
publishDate |
2023 |
url |
https://scholarbank.nus.edu.sg/handle/10635/244769 |
_version_ |
1795302024292597760 |