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2020년 10권 1호 p.1 ~ p.14
Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data
Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data
Ga-Ae Ryu
Aziz Nasridinov, HyungChul Rah and Kwan-Hee Yoo
- Abstract -
Published: 18 January 2020
ISSN 2077-0472
doi:10.3390/agriculture10010021

It is believed that the huge amount of information delivered to the consumers through
mass media, including television and social networks, may affect consumers’ behavior. The purpose
of this study was to forecast the amount required to purchase pork belly meat by using unstructured
data such as broadcast news, TV programs/shows and social network as well as structured data
such as consumer panel data, retail and wholesale prices and production outputs in order to prove
that mass media data release can occur ahead of actual economic activities and consumer behavior
can be predicted by using these data. By using structured and unstructured data from 2010 to 2016
and five forecasting algorithms (autoregressive exogenous model and vector error correction model
for time series, gradient boosting and random forest for machine learning, and long short-term
memory for recurrent neural network), the amounts required to purchase pork belly meat in 2017
were forecasted and compared with the actual amounts to validate model accuracy. Our findings
suggest that when unstructured data were combined with structured data, the forecast pattern is
improved. To date, our study is the first report that forecasts the demand of pork meat by using
structured and unstructured data.
- Key Words -
agri-food, purchase forecast, unstructured big data, social network service, pork meat
agri-food, purchase forecast, unstructured big data, social network service, pork meat
- 논문 구분 -
국외전문학술지, SCIE
- 사사 정보 -
This research was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (319003-01).
- Downloads -
Forecasts of the Amount Purchase Pork Meat by Using Structured and Unstructured Big Data.pdf