The paper introduces study situation related to topic analysis and topic recognition methods of the Online Health Community(OHC). It takes posts in the diabetes community of the XYWY.com as the major study object, implements topic analysis and recognizes key characteristic words by making use of text mining, text clustering, Vector Space Model(VSM) and K-Means clustering model, as well as provides suggestions on information service for online health platform to improve patient experience and health management.