A Proposed Supervised Clustering Appproach for the Identification of Concerned HIV-Related Messages in Web Forums

Abstract

Web forums become the means of online communication and information sharing sources for the learning about healthcare and related treatment knowledge. By adopting web crawlers and natural language processing techniques, the automatic identification and classification approach of the concerned HIV-related messages is proposed to facilitate the health authorities or social support groups in instant counseling. The proposed supervised GA/k-means for classification approach can help effectively distinguish “concerned” and “unconcerned” HIV-related messages on the web forum.