Presentation 2014/7/25
Financial Policy Topic Extraction by using LDA
Yukari SHIROTA, Takako HASHIMOTO, Tamaki SAKURA,
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Abstract(in English) We analyze economic policy uncertainty in Japan just after the East-Japan great earthquake disaster in 2011. The target document is text data of the Policy Board of the Bank of Japan financial policy meeting proceedings summaries. From the documents, we shall extract topics by using the LDA algorithm. We extracted interesting three topics from the summaries. One topic has the peaks which overlapped the Japanese stock price fall times. The topic is considered to be related to the risk around the future of Japan. We think that another disaster-related topic expresses the uncertainty of the company production activity. In this paper, we used other economics time series data as plausible reasons to explain the extract topic. We discuss in the paper our approach by economics data to give a plausible excuse for the topic.
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Keyword(in English) Topic extraction / Latent Dirichlet allocation / Uncertainty / Financial policy / the East-Japan great earthquake disaster
Paper # Vol.2014-DBS-159 No.9,Vol.2014-IFAT-115 No.9
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Committee DE
Conference Date 2014/7/25(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Financial Policy Topic Extraction by using LDA
Sub Title (in English)
Keyword(1) Topic extraction
Keyword(2) Latent Dirichlet allocation
Keyword(3) Uncertainty
Keyword(4) Financial policy
Keyword(5) the East-Japan great earthquake disaster
1st Author's Name Yukari SHIROTA
1st Author's Affiliation Gakushuin University, Faculty of Economics()
2nd Author's Name Takako HASHIMOTO
2nd Author's Affiliation Chiba University of Commerce, Chiba University of Commerce
3rd Author's Name Tamaki SAKURA
3rd Author's Affiliation Japan Center for Economic Research
Date 2014/7/25
Paper # Vol.2014-DBS-159 No.9,Vol.2014-IFAT-115 No.9
Volume (vol) vol.114
Number (no) 173
Page pp.pp.-
#Pages 4
Date of Issue