期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：Today, a lot of and a lot of members of the medical community area unit mistreatment social media forsharing useful medical data and providing patient care. Social media is changing into a lot of and a lot of utilised byhospitals and medical professionals as a method to convey general health data, generally even personalised facilitate.Social media is gaining quality owing to its data spreading feature. Twitter is one in all the foremost powerful supply ofdata sharing as a result of its large users. Consequently, Twitter has become a preferred resource so as to the info forvarious research functions like social engineering, sentiment analysis, business functions etc. owing to itsstraightforward information availableness. In Twitter, the data that area unit re tweeted persistently are often treated aswell-liked. During this analysis, we have a tendency to investigate the prediction of the recognition of messages by theamount of re- tweets and topic model is employed for extracting connected tweets for classification.
关键词：Information; LDA model; Classification; Twitter ;Social media
