テキスト解析によるキーワード抽出から見た地域看護活動の分析の試み

概要

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Text records obtained from interview sessions contain valuable information which may be buried by being unaware or ignored. One of the approaches to analyze text data is to investigate the frequently used keywords. In this report, we evaluated the possibility of application of the text analysis to characterize the activity of community nurses by extracting keywords and their frequencies. For this purpose, we have used text data from interview sessions of three community nurses working in rural regions by asking their efforts on difficult situations and also on successful cases. These interview sessions were recorded and converted to written text files. One of the text files was applied to text analysis by using Japanese Morphological Analysis System "ChaSen". Frequencies of extracted keywords were determined by using Microsoft Excel. Text data used in this report consisted of 35744 characters which were classified into 21866 components after analysis with "ChaSen". Five most frequently used components were "people", "community health", "ability", "child care" and "excellent" in their orders. This preliminary study suggests that key concepts to pursue community nursing activity can be shown by key words extracted from text analysis of interview records.原著Original Paper
東北大学の論文