Main goal of this work is to analysis the drug review by using sentimental analysis. Nowadays we can see media platforms has become a portion of everyone’s lives, they share most of their views and interest in social media platforms like review sites, twitter etc. As social media has become an easier way to communicate, many individuals are posing their opinions in it which also include drug related reviews like providing useful remedies and providing valuable understandings which makes pharmacological companies more useful. In this work, we are mainly targeting on finding the sentiment score of drug reviews which are acquired from ‘drugs.com’ and ‘drugslib.com’ sites. Here we performed some preprocessing techniques on the data and then calculated the accuracy of each model LSTM, RNN, CNN and BERT, on comparing the accuracy we proposed that LSTM is giving the best accuracy when compared to other models with the accuracy of 97%.