Objective : The purpose of this study is to quantitatively analyze trends of dementia research in
occupational therapy field using text mining, one of the big data analysis techniques.
Methods : A total of 108 researches selected by the selection criteria and exclusion criteria of the data
obtained through the web crawling tool Textom and Korea Educational and Scientific
Information Service were analyzed for the frequency of publication by year and academic
journals, We analyzed the key words and analyzed key words by year.
Results : As a result, the number of researches published in 2015 was the highest (22.4%), and the
frequency of publishing journals in the (36.9%), the study design was based on a group – non – randomized study
(57.4%) at the baseline level Ⅲ. And the top ten terms derived from the key word analysis
are 'dementia' (68), 'elderly' (47), 'cognition' (31), 'program' (24), 'occupational therapy' (18),
'mild cognitive impairment' (16), 'recall training' (12), 'depression' (12). and 'cognitive
rehabilitation' (11).
Conclusion : In this study, we focus on quantitative analysis through text mining, focusing on systematic
review and qualitative study trends that have been going through the existing method. Based
on the results of this study, future studies should expand the field of research and the
period, and supplement the methodology through various analysis methods and analysis
contents. It is expected that this study will be used as a basic data of quantitative research
trends not only in dementia but also in the whole area of occupational therapy.