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2011 Korean Economic Census is the rst economic census in Korea, which contains text data on menusserved by Korean-food restaurants as well as structured data on characteristics of restaurants includingarea, opening year and total sales. In this paper, we applied text mining to the text data and investigatedstatistical and technical issues and characteristics of Korean text mining. Pork belly roast was the mostpopular menu across provinces and/or restaurant types in year 2010, and the number of restaurants per10000 people was especially high in Kangwon-do and Daejeon metropolitan city. Beef tartare and fried porkcutlet are popular menus in start-up restaurants while whole chicken soup and maeuntang (spicy sh stew)are in long-lived restaurants. These results can be used as a guideline for menu development to restaurantowners, and for government policy-making process that lead small restaurants to choose proper menus forsuccessful business.Keywords: Text mining, dictionary construction, big data, Korean economic census.

Text Mining for Korean: Characteristics and Application to 2011 Korean Economic Census Data