Text mining on internet-news regarding climate change and food

Abstract

(Kim, 2012;Choi, 2012 420 Yoonjin Hyun Bunescu, 2006;Rijsbergen, 1979). Kim, 2008; Ahn 등, 2006;Yoon, 2005; Lee와 Kim, 2013; Hyun 등, 2013; Wang 등, 2004)Text mining on internet-news regarding climate change and food위에서 선정된 분석 데이터를 대상으로 행해지는 모든 분석 과정은 SAS enterprise miner 12.1 상에 서 행해졌으며, 데이터의 저장 및 가공은 oracle DBMS 12C와 SAS enterprise guide 5.1을 활용하였다. Table 3.1과 같다. Table 3.2에 나타나 있다. Table 3. Text mining on internet-news regarding climate change and food 425와 식품 관련 뉴스 기사들 중 연관성이 높은 키워드로서 물의 빈도수가 가장 높게 나타나서, 특히 물의 중요도를 보여주고 있다. AbstractDespite 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.