alexa Abstract | A Novel Based Statistical Information for Medicine Reviews Using Data Mining Concepts
ISSN ONLINE(2319-8753)PRINT(2347-6710)

International Journal of Innovative Research in Science, Engineering and Technology
Open Access

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Research Article Open Access


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 techniques used in it. The study papers was effective to understand the techniques and gives idea to propose an efficient EMalgorithm to develop for deriving aspects for various age groups using medicines of chronic diseases. Assessment to be carried out and experimental results on reviews of these different drugs to be compared if PAMM is able to find better aspects than other common approaches, when measured with mean point wise mutual information and classification accuracy.

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Author(s): V.Ranjani Gandhi, N.Priya


Drug review, Opinion Mining, Aspect Mining, Text Mining, Topic Modeling, Probabilistic Aspect Mining Model (PAMM), Joint Sentiment Topic (JST), Latent Dirichlet Allocation (LDA)., Data Mining Current Research,Glaucoma Medicine

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