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Medical Sentimental Analysis Techniques for Pharmaceutical Exploration Using Deep Learning Techniques
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Author(s): P. S. Vijayalakshmi (Dr. N.G.P. Arts and Science College, India)and G. Banupriya (Jain University, India)
Copyright: 2025
Pages: 26
Source title:
Humanizing Technology With Emotional Intelligence
Source Author(s)/Editor(s): Subrata Tikadar (Amity University, Kolkata, India), Haipeng Liu (Coventry University, UK), Pronaya Bhattacharya (Amity University Kolkata, India)and Samit Bhattacharya (Indian Institute of Technology Guwahati, India)
DOI: 10.4018/979-8-3693-7011-7.ch013
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Abstract
The Internet's continuous expansion has resulted in a rise in the quantity of content created by users on the web. These days, after taking their medications patients often post their thoughts online to share their feelings and spread awareness. Sentiment analysis, which looks at user evaluations and evaluates the acceptance or effectiveness of different drugs, can be very beneficial to the medical field. We examine customer reviews that have been submitted digitally in the pharmaceutical business in this study. In our initial attempt, we use data gathered from internet pharmaceutical review sites to conduct numerous functions over drug evaluations. Initially, sentiment analysis is used to forecast patient reviews' general happiness, side effects, and efficacy with regard to particular medications. In this work, we demonstrate that deep neural network techniques are a potential method of cross-domain sentiment analysis because they can leverage similarities across domains.
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