Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Analyzing Female College Student's Recognition of Health Monitoring and Wearable Device Using Topic Modeling and Bi-gram Network Analysis

토픽 모델링 및 바이그램 네트워크 분석 기법을 통한 여대생의 건강관리 및 웨어러블 디바이스 인식에 관한 연구

  • 정우경 (숙명여자대학교 문헌정보학과) ;
  • 신동희 (숙명여자대학교 문헌정보학과)
  • Received : 2021.11.15
  • Accepted : 2021.12.20
  • Published : 2021.12.30
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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.

본 연구는 토픽 모델링 및 네트워크 분석 기법을 활용하여 여대생들의 웨어러블 디바이스에 대한 인식 및 선호도 분석, 건강관리에 대한 요구를 분석함으로써 여대생에게 맞는 웨어러블 디바이스 개발 방안을 제시하였다. 이를 위하여 S여자대학교 재학생들이 사용하는 커뮤니티에서 건강관리 및 웨어러블 디바이스와 관련된 게시글 2,457건을 수집하였고. 수집된 게시글과 댓글 데이터를 전처리한 뒤 LDA 기반의 토픽 모델링을 실시하였다. 토픽 모델링 기법을 통해 건강관리 및 웨어러블 디바이스와 관련하여 여대생들의 주요 쟁점들을 도출하고, 관련 키워드가 포함된 포스팅에 대해 바이그램 분석과 네트워크 분석을 수행하여 여대생들이 웨어러블 기기에 대해 가지고 있는 견해를 파악하고자 한다.

Keywords

Acknowledgement

본 연구는 2020년 한국연구재단의 지원을 받아 수행된 연구임(NRF-2020R1G1A1101029).

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