Analysis of Users' Health Knowledge Requirement and Health Perception in Senior Online Community Based on Web Text Mining

DOI

10.2991/ssphe-18.2019.49How to use a DOI?

Keywords

online health community, web text mining, health knowledge requirement, health perception, senior

Abstract

Purpose/Significance: In order to use the Internet to carry out accurate health education, it is essential to study the health knowledge requirement and health perception of netizens. Method/Process: Selecting 5,296 User-shared health knowledge text as a corpus in the "health, regimen, fitness" section of the Elderly Forum "Home for the Elderly". Applying the method of web text mining to carry out the data cleaning and natural language processing of the text in the corpus. TF-IDF keyword extraction algorithm is used to extract the keywords from each text. The Co-keywords network is established to present the structure, scale, and distribution of community content. Its characteristics are analyzed to reflect the current health knowledge requirement and health perception of users. Results: The senior online community user knowledge requirements can be divided into four types: the principles and methods of traditional Chinese medicine, lifestyle adjustments and changes, disease prevention and coping with aging, nutritive value and efficacy of the food. There are interlaced relationships between different types of knowledge requirement; the demand for health knowledge revealed by the user stays at the level of physical health. The mental health and social adaptability are the potential knowledge requirements.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuxing Qian
AU  - Huayang Zhou
AU  - Hao Li
AU  - Meiling Ren
AU  - Wenxuan Gui
AU  - Liqin Zhou
PY  - 2019/01
DA  - 2019/01
TI  - Analysis of Users' Health Knowledge Requirement and Health Perception in Senior Online Community Based on Web Text Mining
BT  - Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)
PB  - Atlantis Press
SP  - 206
EP  - 209
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssphe-18.2019.49
DO  - 10.2991/ssphe-18.2019.49
ID  - Qian2019/01
ER  -