Agribusiness and Information Management

  • 제11권1호
  • /
  • Pages.1-9
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  • 2019
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  • 2234-3075(pISSN)
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  • 2288-7806(eISSN)
한국농식품정보과학회 (Korean Society of Food and Agricultural Information Science)
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Trend Analysis of the Agricultural Industry Based on Text Analytics

  • Choi, Solsaem (Korea Aerospace University, School of Business) ;
  • Kim, Junhwan (Korea Aerospace University, School of Business) ;
  • Nam, Seungju (Korea Aerospace University, School of Business)
  • 발행 : 2019.08.31
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초록

This research intends to propose the methodology for analyzing the current trends of agriculture, which directly connects to the survival of the nation, and through this methodology, identify the agricultural trend of Korea. Based on the relationship between three types of data - policy reports, academic articles, and news articles - the research deducts the major issues stored by each data through LDA, the representative topic modeling method. By comparing and analyzing the LDA results deducted from each data source, this study intends to identify the implications regarding the current agricultural trends of Korea. This methodology can be utilized in analyzing industrial trends other than agricultural ones. To go on further, it can also be used as a basic resource for contemplation on potential areas in the future through insight on the current situation. database of the profitability of a total of 180 crop types by analyzing Rural Development Administration's survey of agricultural products income of 115 crop types, small land profitability index survey of 53 crop types, and Statistics Korea's survey of production costs of 12 crop types. Furthermore, this research presents the result and developmental process of a web-based crop introduction decision support system that provides overseas cases of new crop introduction support programs, as well as databases of outstanding business success cases of each crop type researched by agricultural institutions.

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