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http://dx.doi.org/10.7465/jkdi.2015.26.2.419

Text mining on internet-news regarding climate change and food  

Hyun, Yoonjin (Graduate School of Business IT, Kookmin University)
Kim, Jeong Seon (Korea Institute for Health and Social Affairs)
Jeong, Jin-Wook (Korea Institute for Health and Social Affairs)
Yun, Simon (Korea Institute for Health and Social Affairs)
Lee, Moon-Soo (Graduate School of Business IT, Kookmin University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.2, 2015 , pp. 419-427 More about this Journal
Abstract
Despite of correlation between climate changes and food-related information, it is still not easy for many users to get access to the information with interest. This study investigated how much climate change and food-related information are correlated with each other and how often they are exposed through frequency and correlation analysis on news articles on the internet portals. Through analysis on the frequency of climate change and food-related news articles, this study was able to figure out how often they are exposed at the same time by the internet news portals. In addition, a total of 59 correlation rules regarding the climate change and food-related vocabularies were derived from these news articles using the climate change and food-related glossaries. Then, a correlation between certain climate change-related and food-related words was analyzed in order to package the related words.
Keywords
Climate change; food; internet portals; relation; text mining;
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Times Cited By KSCI : 3  (Citation Analysis)
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