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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: September 2023

Volume 8 | Issue 9

Impact factor: 8.15

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Paper Title: An Approach to Sentimental Analysis of Drug Reviews Using AI
Authors Name: Dr Harish B G , Mr Chetan Kumar G S , Shreyanka M N , Likhitha M
Unique Id: IJSDR2309054
Published In: Volume 8 Issue 9, September-2023
Abstract: 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.
Keywords: Sentimental Analysis, Machine Learning, LightGBM, RNN, LSTM
Cite Article: "An Approach to Sentimental Analysis of Drug Reviews Using AI", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.324 - 331, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309054.pdf
Downloads: 000251438
Publication Details: Published Paper ID: IJSDR2309054
Registration ID:208521
Published In: Volume 8 Issue 9, September-2023
DOI (Digital Object Identifier):
Page No: 324 - 331
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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