Keyword Analysis of Oral Life Story Using AntConc-for the Oral Recording Files of the 2017 Sports Development Contributor Oral Recording Project

Abstract

This study is on mining audio data by viewing the results of the oral recording project ordered by the state as unstructured data. Among the oral record data produced in the 2017 Sports Development Contributor Oral Recording Project, the Lee 00 audio recording files were used as the subject of the study. Also among the oral record data, oral life stories were recorded as voice data, which was converted into text data and used as the main subject of the study. Keywords were extracted from the text data, words related to the keywords were extrated, and the frequency was calculated again from the text data. As a result of the study, the main keywords of Lee's oral notes and the related keywords, which may the co-occurring words of the main keywords, appeared with high frequency in the oral notes. Through this finding, it was possible to grasp the identity of the narrator and the part that the narrator focused on during his lifetime.