Abstract
To elucidate the lost place identity using the memories told by the victims of the Great East
Japan Earthquake Disaster, we conducted the following analysis. 1) Through text mining, we
were able to extract characteristic keywords contained in the testimonies of residents recorded
in each district. 2) Correspondence analysis using the selected keywords showing characteristics
of community could classify four categories of communities such as urban, town, town + fishing,
and fishing village. 3) By performing kernel density estimation on the distribution of location
information of residents' testimonies, we were able to efficiently extract areas where testimonies
in each district were concentrated.