文章基本信息

标题：A Novel Based Statistical Information for Medicine Reviews Using Data Mining Concepts
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作者：V.Ranjani Gandhi ; N.Priya
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：3
页码：1482
DOI：10.15680/IJIRSET.2015.0403095
出版社：S&S Publications
摘要：Recently important drugs for patient are given in online through reviews, blogs, and discussion forums.In this survey paper, compares various research parameters for statistical report in drugs reviews and the techniquesused in it. The study papers was effective to understand the techniques and gives idea to propose an efficient EMalgorithmto develop for deriving aspects for various age groups using medicines of chronic diseases. Assessment to becarried out and experimental results on reviews of these different drugs to be compared if PAMM is able to find betteraspects than other common approaches, when measured with mean point wise mutual information and classificationaccuracy.
关键词：Drug review; Opinion Mining; Aspect Mining; Text Mining; Topic Modeling; Probabilistic Aspect;Mining Model (PAMM); Joint Sentiment Topic (JST); Latent Dirichlet Allocation (LDA).