title: Online detection 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 health care and related treatment knowledge. By adopting web crawlers and natural language processing techniques, the automatic identification approach of the concerned HIV-related messages is proposed to facilitate the health authorities and social support groups in instant counseling. The proposed supervised GA/k-means for classification approach can help construct an effective identification and classification model with acceptable classification performance accompanied with its full flexibility to develop different fitness functions in accordance with the need of different requirements. Furthermore, with the aid of correspondence analysis, the most frequently used terms in concerned HIV-related messages are identified and focus on risky sexual behavior whereas unconcerned messages are those who of worried well.
authors.affiliation: a Department of Information Management , Yuan Ze University , Chungli City , Taiwan.
authors.forename: Re-Jiau
authors.initials: RJ
authors.lastname: Sung
authors.forename: Chaochang
authors.initials: C
authors.lastname: Chiu
authors.forename: Nan-Hsing
authors.initials: NH
authors.lastname: Chiu
authors.forename: Chih-Hao
authors.initials: CH
authors.lastname: Hsiao
mesh_terms: D000465:Algorithms; D003142:Communication; D005260:Female; D015658:HIV Infections; D006801:Humans; D033181:Information Dissemination; D057226:Information Seeking Behavior; D007255:Information Services / Q000706:statistics & numerical data; D020407:Internet; D008297:Male; D010353:Patient Education as Topic; D012309:Risk-Taking; D057386:Search Engine; D012657:Self-Help Groups / Q000706:statistics & numerical data*; D012725:Sexual Behavior; D012944:Social Support