Smart Drug Recommendation System Using Sentiment Analysis of Drug Reviews

Q: What type of study is this?

This is a Quantitative Study study (also classified as: Cohort Study, Experimental Study).

Prof. Dr. S D N Hayath Ali

doi:10.22214/ijraset.2025.74004

September 11, 2025International Journal for Research in Applied Science and Engineering Technology

Smart Drug Recommendation System Using Sentiment Analysis of Drug Reviews

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Key Points

The system achieved a remarkable 93% classification accuracy using sentiment analysis on drug reviews.
Utilizing the Drugs.com database, the approach incorporates various computational models for effective drug recommendation.
Advanced methodologies, including TF-IDF and Linear Support Vector Classification, significantly contributed to the system's efficiency.
The user interface enhances comprehension by presenting drug information with thorough insights and potential side effects.

Implication

This research demonstrates a drug recommendation system utilizing sentiment analysis, suggesting improved pharmaceutical guidance through computational intelligence.

Discussion

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Cite This Study

Prof. Dr. S D N Hayath Ali (2025) studied this question.

synapsesocial.com/papers/68d44b2231b076d99fa54272 https://doi.org/10.22214/ijraset.2025.74004

View Full Paper

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Smart Drug Recommendation System Using Sentiment Analysis of Drug Reviews

Key Points

Implication

Discussion

Cite This Study

Smart Drug Recommendation System Using Sentiment Analysis of Drug Reviews

Key Points

Implication

Discussion

Cite This Study

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