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

摘要

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 ty pes 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.