Paper Contents
Abstract
The rapid growth of online pharmacy forums has made drug sentiment analysis an important and ongoing research topic. This work summarizes the findings of three pivotal research papers employing machine learning approaches in drug sentiment analysis and classification. Following an overview of the papers, including methodology used, databases employed, and results obtained-drawing on their strengths and weaknesses-our recommendations identify directions for future research in this expanding domain. The present author has in mind the use of machine learning techniques dealing with drug addiction, including addiction modeling, relapse prevention, and effective sentiment analysis of drug reviews.
Copyright
Copyright © 2024 Rishabh Gupta. This is an open access article distributed under the Creative Commons Attribution License.
