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http://dx.doi.org/10.7472/jksii.2021.22.5.35

Active Senior Contents Trend Analysis using LDA Topic Modeling  

Lee, Dongwoo (RTdata Lab)
Kim, Yoosin (RTdata Lab)
Shin, Eunjung (Yonsei University)
Publication Information
Journal of Internet Computing and Services / v.22, no.5, 2021 , pp. 35-45 More about this Journal
Abstract
The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.
Keywords
Active Senior; Big Data; Text Mining; LDA Topic Modeling; Trend Analysis;
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