Modern medicine is significantly reliant on healthcare, especially in this digital age. Because of the continued rise of internet shopping, reviews have become an important part of the buying process. Ratings and reviews have a significant impact on customer purchasing decisions and product recommendations. Healthcare product and service evaluations are important because they educate patients and healthcare professionals on critical medical topics. Everyone’s health will benefit from physicians and pharmaceutical companies reading these reviews since they will be better positioned to advise patients on which medications to take and monitor any bad reactions to their goods once they are on the market. Our drug recommendation system incorporates sentiment prediction from patient evaluations using a few vectorization algorithms, including Word2Vec, TF-IDF, and Bag of Words.

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Drug Recommendation System Based on Sentiment Analysis of Drug Reviews

  • N. Deshai,
  • K. Samatha,
  • Ch. S. V. N. Brahma Reddy,
  • M. S. V. Pavan Kalyan,
  • D. Abhishek,
  • K. Sai Praneeth,
  • M. S. S. S. Pavan

摘要

Modern medicine is significantly reliant on healthcare, especially in this digital age. Because of the continued rise of internet shopping, reviews have become an important part of the buying process. Ratings and reviews have a significant impact on customer purchasing decisions and product recommendations. Healthcare product and service evaluations are important because they educate patients and healthcare professionals on critical medical topics. Everyone’s health will benefit from physicians and pharmaceutical companies reading these reviews since they will be better positioned to advise patients on which medications to take and monitor any bad reactions to their goods once they are on the market. Our drug recommendation system incorporates sentiment prediction from patient evaluations using a few vectorization algorithms, including Word2Vec, TF-IDF, and Bag of Words.