Presentation 2022-03-07
An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party
Yuki Mikiya, Daichi Mochihashi,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Understanding the semantic differences among texts has important implications in the social sciences and humanities. In order to understand the long-term changes in the ideology of the Communist Party of China, this study conducted quantitative text analyses on the official newspaper written in Chinese. Specifically, I explicitly extracted meaningful differences in the policies and the ideologies by applying DocVec, t-SNE, and linear discriminant analysis. These methods are practical in exploratory data analysis because they allow us to continuously understand the data structure while removing label information such as ideology.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Political Science / Politics of the Chinese Communist Party / Embedding / DocVec / Linear Discriminant Analysis / t-SNE
Paper # NLC2021-32
Date of Issue 2022-02-28 (NLC)

Conference Information
Committee NLC
Conference Date 2022/3/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Information Processing of Tourism, etc.
Chair Kazutaka Shimada(Kyushu Inst. of Tech.)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Takeshi Kobayakawa(NHK)
Secretary Mitsuo Yoshida(Univ. of Tokyo) / Takeshi Kobayakawa(Hiroshima Univ. of Economics)
Assistant Kanjin Takahashi(Sansan) / Ko Mitsuda(NTT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Exploratory Text Analysis for the Ideologies of the Chinese Communist Party
Sub Title (in English)
Keyword(1) Political Science
Keyword(2) Politics of the Chinese Communist Party
Keyword(3) Embedding
Keyword(4) DocVec
Keyword(5) Linear Discriminant Analysis
Keyword(6) t-SNE
1st Author's Name Yuki Mikiya
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Daichi Mochihashi
2nd Author's Affiliation The Institute of Statistical Mathematics(ISM)
Date 2022-03-07
Paper # NLC2021-32
Volume (vol) vol.121
Number (no) NLC-415
Page pp.pp.24-29(NLC),
#Pages 6
Date of Issue 2022-02-28 (NLC)