Analysis of Users' Health Knowledge Requirement and Health Perception in Senior Online Community Based on Web Text Mining
Yuxing Qian, Huayang Zhou, Hao Li, Meiling Ren, Wenxuan Gui, Liqin Zhou
Available Online January 2019.
- https://doi.org/10.2991/ssphe-18.2019.49How to use a DOI?
- online health community, web text mining, health knowledge requirement, health perception, senior
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/ssphe-18.2019.49 ID - Qian2019/01 ER -