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• W2594276424 abstract "By the drastic popularity of Internet, the study of online reviews through blogs, discussion forums etc., have become most popular way for the patients to have medicines for chronic diseases. This paper consists of various research parameters for opinion extraction of drug reviews and techniques used in it. A probabilistic theory is developed to extract useful information from those reviews, called as PAMM (Probabilistic Aspect Mining Model). PAMM has a particular characteristic that it concentrates on finding opinion aspect related to one class instead of finding aspect for all classes simultaneously on each execution. This reduces the chances of mixed concepts of other classes. The aspects found are also responsible to differentiate a class from other classes. The paper gives idea to propose an efficient EM algorithm to propose opinion aspects for various groups of ages. An EM algorithm is used for finding approximate parameters of an underlying distribution from data set when it has missing values." @default.
• W2594276424 created "2017-03-16" @default.
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• W2594276424 date "2015-01-01" @default.
• W2594276424 modified "2023-09-27" @default.
• W2594276424 title "Opinion Extraction of Drug Reviews Using PAMM Model" @default.
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• W2594276424 hasPublicationYear "2015" @default.
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