Loading…
Estimation of Economic Indicator Announced by Government From Social Big Data
We introduce a systematic method to estimate an economic indicator from the Japanese government by analyzing big Japanese blog data. Explanatory variables are monthly word frequencies. We adopt 1352 words in the section of economics and industry of the Nikkei thesaurus for each candidate word to ill...
Saved in:
Published in: | Entropy (Basel, Switzerland) Switzerland), 2018-11, Vol.20 (11), p.852 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283 |
---|---|
cites | cdi_FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283 |
container_end_page | |
container_issue | 11 |
container_start_page | 852 |
container_title | Entropy (Basel, Switzerland) |
container_volume | 20 |
creator | Yamada, Kenta Takayasu, Hideki Takayasu, Misako |
description | We introduce a systematic method to estimate an economic indicator from the Japanese government by analyzing big Japanese blog data. Explanatory variables are monthly word frequencies. We adopt 1352 words in the section of economics and industry of the Nikkei thesaurus for each candidate word to illustrate the economic index. From this large volume of words, our method automatically selects the words which have strong correlation with the economic indicator and resolves some difficulties in statistics such as the spurious correlation and overfitting. As a result, our model reasonably illustrates the real economy index. The announcement of an economic index from government usually has a time lag, while our proposed method can be real time. |
doi_str_mv | 10.3390/e20110852 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ff8612ebbaa34088b589d944a6492a4a</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_ff8612ebbaa34088b589d944a6492a4a</doaj_id><sourcerecordid>2466771748</sourcerecordid><originalsourceid>FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283</originalsourceid><addsrcrecordid>eNpdkctuFDEQRS0EIg9Y8AeW2MBiwO_HBikkkzBSUBaBtVV2uwePuu1gd0fK36eTiSLCqkpVV0d16yL0gZIvnFvyNTJCKTGSvUKHlFi7EpyQ1__0B-iotR0hjDOq3qIDzplSUqtD9HPdpjTClErGpcfrUHIZU8Cb3KUAU6n4JOcy5xA77O_wRbmNNY8xT_i8lhFfl5BgwN_TFp_BBO_Qmx6GFt8_1WP0-3z96_TH6vLqYnN6crkKQqhpJYOyUunoNbDgte244tBZ7qkmhkZCO0tipDZQRngQRgHtO-OJMpJGzgw_Rps9tyuwczd1cVDvXIHkHgelbh3UKYUhur43irLoPQAXxBgvje2sEKCEZSBgYX3bs25mP8YuLN4qDC-gLzc5_XHbcuu0pExQsQA-PQFq-TvHNrkxtRCHAXIsc3NMKKU11eLh7o__SXdlrnl5lWPSMG0V1XJRfd6rQi2t1dg_H0OJewjcPQfO7wG0UJnX</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2582796175</pqid></control><display><type>article</type><title>Estimation of Economic Indicator Announced by Government From Social Big Data</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Directory of Open Access Journals</source><creator>Yamada, Kenta ; Takayasu, Hideki ; Takayasu, Misako</creator><creatorcontrib>Yamada, Kenta ; Takayasu, Hideki ; Takayasu, Misako</creatorcontrib><description>We introduce a systematic method to estimate an economic indicator from the Japanese government by analyzing big Japanese blog data. Explanatory variables are monthly word frequencies. We adopt 1352 words in the section of economics and industry of the Nikkei thesaurus for each candidate word to illustrate the economic index. From this large volume of words, our method automatically selects the words which have strong correlation with the economic indicator and resolves some difficulties in statistics such as the spurious correlation and overfitting. As a result, our model reasonably illustrates the real economy index. The announcement of an economic index from government usually has a time lag, while our proposed method can be real time.</description><identifier>ISSN: 1099-4300</identifier><identifier>EISSN: 1099-4300</identifier><identifier>DOI: 10.3390/e20110852</identifier><identifier>PMID: 33266576</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>big blog data ; Big Data ; Blogs ; Earthquakes ; Economic analysis ; economic index ; Economic models ; Feature selection ; Regression analysis ; robust variable selection ; Standard deviation ; Time lag ; Time series ; Trends ; Variables</subject><ispartof>Entropy (Basel, Switzerland), 2018-11, Vol.20 (11), p.852</ispartof><rights>2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 by the authors. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283</citedby><cites>FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2582796175/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2582796175?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,25731,27901,27902,36989,36990,44566,53766,53768,75096</link.rule.ids></links><search><creatorcontrib>Yamada, Kenta</creatorcontrib><creatorcontrib>Takayasu, Hideki</creatorcontrib><creatorcontrib>Takayasu, Misako</creatorcontrib><title>Estimation of Economic Indicator Announced by Government From Social Big Data</title><title>Entropy (Basel, Switzerland)</title><description>We introduce a systematic method to estimate an economic indicator from the Japanese government by analyzing big Japanese blog data. Explanatory variables are monthly word frequencies. We adopt 1352 words in the section of economics and industry of the Nikkei thesaurus for each candidate word to illustrate the economic index. From this large volume of words, our method automatically selects the words which have strong correlation with the economic indicator and resolves some difficulties in statistics such as the spurious correlation and overfitting. As a result, our model reasonably illustrates the real economy index. The announcement of an economic index from government usually has a time lag, while our proposed method can be real time.</description><subject>big blog data</subject><subject>Big Data</subject><subject>Blogs</subject><subject>Earthquakes</subject><subject>Economic analysis</subject><subject>economic index</subject><subject>Economic models</subject><subject>Feature selection</subject><subject>Regression analysis</subject><subject>robust variable selection</subject><subject>Standard deviation</subject><subject>Time lag</subject><subject>Time series</subject><subject>Trends</subject><subject>Variables</subject><issn>1099-4300</issn><issn>1099-4300</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkctuFDEQRS0EIg9Y8AeW2MBiwO_HBikkkzBSUBaBtVV2uwePuu1gd0fK36eTiSLCqkpVV0d16yL0gZIvnFvyNTJCKTGSvUKHlFi7EpyQ1__0B-iotR0hjDOq3qIDzplSUqtD9HPdpjTClErGpcfrUHIZU8Cb3KUAU6n4JOcy5xA77O_wRbmNNY8xT_i8lhFfl5BgwN_TFp_BBO_Qmx6GFt8_1WP0-3z96_TH6vLqYnN6crkKQqhpJYOyUunoNbDgte244tBZ7qkmhkZCO0tipDZQRngQRgHtO-OJMpJGzgw_Rps9tyuwczd1cVDvXIHkHgelbh3UKYUhur43irLoPQAXxBgvje2sEKCEZSBgYX3bs25mP8YuLN4qDC-gLzc5_XHbcuu0pExQsQA-PQFq-TvHNrkxtRCHAXIsc3NMKKU11eLh7o__SXdlrnl5lWPSMG0V1XJRfd6rQi2t1dg_H0OJewjcPQfO7wG0UJnX</recordid><startdate>20181106</startdate><enddate>20181106</enddate><creator>Yamada, Kenta</creator><creator>Takayasu, Hideki</creator><creator>Takayasu, Misako</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20181106</creationdate><title>Estimation of Economic Indicator Announced by Government From Social Big Data</title><author>Yamada, Kenta ; Takayasu, Hideki ; Takayasu, Misako</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>big blog data</topic><topic>Big Data</topic><topic>Blogs</topic><topic>Earthquakes</topic><topic>Economic analysis</topic><topic>economic index</topic><topic>Economic models</topic><topic>Feature selection</topic><topic>Regression analysis</topic><topic>robust variable selection</topic><topic>Standard deviation</topic><topic>Time lag</topic><topic>Time series</topic><topic>Trends</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yamada, Kenta</creatorcontrib><creatorcontrib>Takayasu, Hideki</creatorcontrib><creatorcontrib>Takayasu, Misako</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Entropy (Basel, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yamada, Kenta</au><au>Takayasu, Hideki</au><au>Takayasu, Misako</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of Economic Indicator Announced by Government From Social Big Data</atitle><jtitle>Entropy (Basel, Switzerland)</jtitle><date>2018-11-06</date><risdate>2018</risdate><volume>20</volume><issue>11</issue><spage>852</spage><pages>852-</pages><issn>1099-4300</issn><eissn>1099-4300</eissn><abstract>We introduce a systematic method to estimate an economic indicator from the Japanese government by analyzing big Japanese blog data. Explanatory variables are monthly word frequencies. We adopt 1352 words in the section of economics and industry of the Nikkei thesaurus for each candidate word to illustrate the economic index. From this large volume of words, our method automatically selects the words which have strong correlation with the economic indicator and resolves some difficulties in statistics such as the spurious correlation and overfitting. As a result, our model reasonably illustrates the real economy index. The announcement of an economic index from government usually has a time lag, while our proposed method can be real time.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>33266576</pmid><doi>10.3390/e20110852</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1099-4300 |
ispartof | Entropy (Basel, Switzerland), 2018-11, Vol.20 (11), p.852 |
issn | 1099-4300 1099-4300 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_ff8612ebbaa34088b589d944a6492a4a |
source | Publicly Available Content Database; PubMed Central; Directory of Open Access Journals |
subjects | big blog data Big Data Blogs Earthquakes Economic analysis economic index Economic models Feature selection Regression analysis robust variable selection Standard deviation Time lag Time series Trends Variables |
title | Estimation of Economic Indicator Announced by Government From Social Big Data |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T18%3A08%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Estimation%20of%20Economic%20Indicator%20Announced%20by%20Government%20From%20Social%20Big%20Data&rft.jtitle=Entropy%20(Basel,%20Switzerland)&rft.au=Yamada,%20Kenta&rft.date=2018-11-06&rft.volume=20&rft.issue=11&rft.spage=852&rft.pages=852-&rft.issn=1099-4300&rft.eissn=1099-4300&rft_id=info:doi/10.3390/e20110852&rft_dat=%3Cproquest_doaj_%3E2466771748%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c446t-5c69567eb7a2cb79d363ad93b17081e01d90ee19c1203c486a1fd8b06851e3283%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2582796175&rft_id=info:pmid/33266576&rfr_iscdi=true |