Nowcasting commodity price of a developing country based on social web data : research and practical implications = 소셜 데이터 기반 개발도상국 소비재 가격 예측 실용화 연구research and practical implications

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Up-to-date daily information on food prices is invaluable to help policymakers and development organizations address food security problems and improve public welfare. With growing Internet connectivity in developing countries, this study analyses the possible use of large-scale online data to provide updates on the food security landscape. Through a case study of Indonesia, we develop an integrated approach to nowcast daily food prices for four types of food commodities that are essential in the region: beef, chicken, onion and chilli. Data analysis shows that suggested algorithm outperforms traditional nowcast methods and baselines in terms of prediction performance metrics.
Advisors
Cha, Meeyoungresearcher차미영researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 문화기술대학원, 2018.2,[vi, 78 p. :]

Keywords

Nowcast▼aPrice prediction▼aSocial data▼aDeveloping countries▼aTwitter▼aGoogle Trends; 나우캐스트▼a가격예측▼a소셜데이터▼a개발도상국▼a트위터▼a구글트렌드

URI
http://hdl.handle.net/10203/264632
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734282&flag=dissertation
Appears in Collection
GCT-Theses_Ph.D.(박사논문)
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