Characteristic analysis of elderly people using text mining

Abstract

The aging rate in Japan has been increasing year by year and remains high compared to other countries. Past research approaches to the elderly have mainly focused on topics related to health promotion, nursing care, and the medical field for the elderly. In recent years, research on the quality of life of the elderly has also　progressed, and attention has been paid to how to make the elderly happy during their old age. Prior research has shown that the elderly prefer positive information and that focusing on positive information can stabilize　their mood. The authors conducted an emotional analysis of news articles on special fraud and found that the elderly who prefer to acquire positive information may not actively acquire information due to the negative impression given by news articles on special fraud, indicating that news about special fraud may not reach the elderly In the previous study, we found that the elderly are entangled in the process of memory. In previous studies, a number of researchers have addressed the process of information coming in through the eyes, ears, and other sensory organs intertwined with the memory process, but there have been few studies on information transmission among the elderly. Therefore, in this study, we will analyze word-of-mouth postings by the elderly in order to clarify the characteristics of information transmission by the elderly.