An Approach to Sentimental Analysis of Drug Reviews Using AI
Dr Harish B G
, Mr Chetan Kumar G S , Shreyanka M N , Likhitha M
Sentimental Analysis, Machine Learning, LightGBM, RNN, LSTM
In past years, large amount of data in various forms is available for use in medical domain to analyse various health conditions. The reviews in the medical industry are based on price, side- effects, user experience and proper dosage. The drug reviews are much more complicated as they contain medical terminologies like chemical used in drugs, medical health conditions etc. To overcome these issues this paper proposes a recommendation system based on a hybrid RNN stacked with bi-directional LSTM model and a gradient boosting framework, LightGBM classifier, which takes health condition as the input and recommends the best drugs based on the analysis of the reviews with 83% accuracy.
"An Approach to Sentimental Analysis of Drug Reviews Using AI", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.324 - 331, September-2023, Available :https://ijsdr.org/papers/IJSDR2309054.pdf
Volume 8
Issue 9,
September-2023
Pages : 324 - 331
Paper Reg. ID: IJSDR_208521
Published Paper Id: IJSDR2309054
Downloads: 000347176
Research Area: Master of Computer Application
Country: Davanagere, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
