Active Senior Contents Trend Analysis using LDA Topic Modeling

Dongwoo Lee; Yoosin Kim; Eunjung Shin

Active Senior Contents Trend Analysis using LDA Topic Modeling

Dongwoo Lee, Yoosin Kim, Eunjung Shin, Journal of Internet Computing and Services, Vol. 22, No. 5, pp. 35-45, Oct. 2021

10.7472/jksii.2021.22.5.35, Full Text:

Keywords: Active Senior, Big data, Text Mining, LDA Topic Modeling, Trend Analysis

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.

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Cite this article

[APA Style]

Lee, D., Kim, Y., & Shin, E. (2021). Active Senior Contents Trend Analysis using LDA Topic Modeling. Journal of Internet Computing and Services, 22(5), 35-45. DOI: 10.7472/jksii.2021.22.5.35.

[IEEE Style]

D. Lee, Y. Kim, E. Shin, "Active Senior Contents Trend Analysis using LDA Topic Modeling," Journal of Internet Computing and Services, vol. 22, no. 5, pp. 35-45, 2021. DOI: 10.7472/jksii.2021.22.5.35.

[ACM Style]

Dongwoo Lee, Yoosin Kim, and Eunjung Shin. 2021. Active Senior Contents Trend Analysis using LDA Topic Modeling. Journal of Internet Computing and Services, 22, 5, (2021), 35-45. DOI: 10.7472/jksii.2021.22.5.35.