Drug Recommendation System based on Sentiment Analysis of Drug Reviews
#DrugRecommendationSystem #SentimentAnalysis #DrugReviews
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The objective of this project is to develop a Drug Recommendation System that leverages sentiment analysis of drug reviews to provide personalized recommendations. This system aims to help users find suitable drugs based on the experiences and feedback of other users with similar conditions. The project involves data collection, preprocessing, sentiment analysis, recommendation generation, and deployment using Flask.
This Project is based on sentiment analysis of the drug whether the drug should be given for patients, it is advisable or not to the patients. This project is implemented using Natural Language processing using a bag of words model and other techniques like vectorization to analyze the drug reviews
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