Keyword analysis in agriculture-food sector of Korea’s science and technology information service

In order to investigate the trend of Korea’s science and technology policy in the field of agriculture-food sector, it is assumed that a keyword is included in the project titles that has been selected as a national R&D program and received government funding. This is proven through text mining, CONCOR analysis, and regression analysis. First of all, the project title data were collected through National Science & Technology Information Service system (NTIS system). Through the analysis, seven keywords were extracted. With N-gram analysis, it was found that these keywords have characteristics that are connected to each other. It was divided into 8 groups with similar meanings through CONCOR analysis. Among them, the ‘food industry’ group contains the most frequency. Through regression analysis, it was proved that there is a proportional relationship between the keyword frequency, government funds, and paper performance. As a result, the trend of Korea’s national science and technology policy in the field of agriculture-food is ‘food industry’. In conclusion, project titles that contain high-frequency keywords can receive a lot of government funds, and it is proportional to the paper performance.