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Text Mining for Economic Analysis
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거시경제 분석을 위한 텍스트 마이닝

논문 기본 정보

Type
Academic journal
Author
김수현 (한국은행) Youngjoon Lee (Stanford University) Jhinyoung Shin (연세대학교) Ki Young Park (연세대학교)
Journal
Panel for Korean Economic Analysis 한국경제의 분석 한국경제의 분석 제26권 제1호 KCI Accredited Journals
Published
2020.1
Pages
1 - 70 (70page)

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Text Mining for Economic Analysis
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Abstract· Keywords

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Text mining or natural language processing is a multi-discipline technique that can distill and obtain useful information from text. With the development of AI and increasing abundance of big data, text mining is becoming one of the essential technologies in the fields of business, governement and academia. In this regard, the purpose of this paper is to provide detailed description of how text data analysis can be used for economic analysis by reviewing the key methodologies and related literature. We expect that text mining will complement the limitation of current data and methodologies by serving as a new source of information.
#텍스트 마이닝 #머신러닝 #경제 분석

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References (4)

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최동욱 / 2017 / 인터넷 포털의 경쟁과 뉴스 편향도의 선택 / 산업조직연구 25(2):1~40 Crossref Connelly, R. / 2016 / The role of administrative data in the big data revolution in social science research / Social Science Research google schola Gentzkow / 2010 / What drives media slant? Evidence from U.S. daily newspapers / Econometrica 78(1):35~71 google schola Stephens-Davidowitz, Seth / 2017 / Everybody lies: Big data, new data and what the internet can tell us about who we really are / Harper Collins google schola

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