With the emergent of advanced technologies, several methods of extracting huge amount of information have been adopted for many applications and information processing. One of which is mining opinion (or sentiment analysis) that is useful in natural language processing, text mining, and speech recognition, etc., which is widely functional in different information industries. The Online Social Media has created new multiple avenues for sharing of different kind of information among folks for social awareness and sharing views among them. The research based in the context of customer review mining on online various pharmaceutical products evaluation with respect to the frequency of a particular medicine usage, customer personal satisfaction, influential marketing products strategy, online pharmaceutical suggestions and prescriptions, and the impact of medicines on health, etc. The research focus on sentiment analysis of multiple customer reviews on different medicines to evaluate the quality and satisfaction of that product. Further, sentiment approach has been assumed that can help pharmaceutical enterprises in improving and maintaining the quality of product services based on the review of customer. The research aims to use lexiconbased approach for sentiment classification according to positive, negative or neutral type of polarity but to a limited extent. The accuracy and reliability of results is a challenge when parsing complex sentences and words due to insufficient undistinguishable data.
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