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ISSN : 1013-0799

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Vol.38 No.4
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Analyzing Female College Student’s Recognition of Health Monitoring and Wearable Device Using Topic Modeling and Bi-gram Network Analysis

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2021, v.38 no.4, pp.129-152
https://doi.org/10.3743/KOSIM.2021.38.4.129
Wookyoung Jeong
Donghee Shin
Jeong, W., & Shin, D. (2021). Analyzing Female College Student’s Recognition of Health Monitoring and Wearable Device Using Topic Modeling and Bi-gram Network Analysis. Journal of the Korean Society for Information Management, 38(4), 129-152, https://doi.org/10.3743/KOSIM.2021.38.4.129
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Abstract

This study proposed a plan to develop wearable devices suitable for female college students by analyzing female college students’ perceptions and preferences for wearable devices and their needs for health care using topic modeling and network analysis techniques. To this end, 2,457 posts related to health care and wearable devices were collected from the community used by S Women’s University students. After preprocessing the collected posts and comment data, LDA-based topic modeling was performed. Through topic modeling techniques, major issues of female college students related to health care and wearable devices are derived, and bi-gram analysis and network analysis are performed on posts containing related keywords to understand female college students’ views on wearable devices.

keywords
건강관리, 웨어러블 디바이스, 토픽 모델링, 바이그램 네트워크 분석, health monitoring, wearable device, topic modeling, bigram network analysis
Submission Date
2021-11-15
Revised Date
2021-12-04
Accepted Date
2021-12-20

Journal of the Korean Society for Information Management

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