About this document
Drug Recommendation System via Sentiment Analysis by kmp pssr is a document available to read on EtoBox.
This document proposes a drug recommendation system based on sentiment analysis of drug reviews using machine learning techniques. It analyzes patient reviews of drugs to predict sentiment and recommend the top drug for a given disease. Various techniques like bag of words, TF-IDF, Word2Vec and manual feature analysis are used to classify sentiment, with Linear SVC using TF-IDF achieving the highest accuracy of 93%. The system aims to help doctors and patients make more informed decisions by analyzing onlin
- Author
- kmp pssr
- Language
- EN