TITLE:
Text Mining Analysis of Efficiency of the Continuously Implemented Gathering Type Action Plan for Male Elderly People Obtained
AUTHORS:
Motoya Yamada, Ruriko Kidachi, Tetsuko Takaoka, Yosuke Kamata, Chiyoko Kimura, Mayumi Shimizu, Kazutaka Kikuchi
KEYWORDS:
Action Research, Male Elderly People, Community Reconstitution, Text Mining Method, Nuclear Power Plant Accident
JOURNAL NAME:
Open Journal of Nursing,
Vol.12 No.1,
January
26,
2022
ABSTRACT: Aim: To clarify transformation of the participants’ consciousness for rebuilding the community and its factors from the discussion contents by actions for male elderly people in Town A in Fukushima prefecture. Design: This study was an action research. Method: The author verbalized discussion contents of the action conducted in 2018-2019 and analyzed them for each year by the text mining method. Results: The word appearance frequency was high in the order of “Person” and “Town A” in both years. One large word network was formed in 2018 and its topic was about what the participants feel in their life in Town A. Two large word networks were formed in 2019 and their topic was about the community participation including difficulty in motivating others such as how people who do not participate can feel like joining it.