Skip to content
Keywords: NLP, Text-Classification, Drug Reviews, Flask
Jupyter Notebook JavaScript Other
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
Flask_Final_Project
.DS_Store
Cross_Domain_Learnings_DrugsCom.ipynb
DL_DataExploration.ipynb
DL_MODEL.ipynb
Drug.com_DataExploration.ipynb
Drugs.Com_LOGO.png
Drugs_Lib.png
HealthCare_Logo.jpg
LICENSE
README.md
Therapy _Recommender.gif

README.md

Aspect-Based Sentiment Analysis of Drug Reviews Applying Cross-Domain and Cross-Data Learning

Keywords: NLP, Text-Classification, Drug Reviews, Flask

Drug Reviews compared from these two data sets

What was investigated?

  • Is there a domain-dependent language across conditions?
  • Is it possible to enrich lacking annotations across data sets?

What is the business use?

  • Drugs/Pharmaceutical Industry: Post-Marketing Drug Surveillance
    -->Great collection of sentiments-> How is my drug doing?
  • Clinical Decision Support Systems: Therapy Recommder Systems
    --> Approach to get structured/annotated data

Mockup of a therapy recommender system

Usage of TRS

Acknowledgments

  • Data set and methods were partially applied following:
Felix Gräßer, Surya Kallumadi, Hagen Malberg, and Sebastian Zaunseder. 2018. Aspect-Based Sentiment Analysis of Drug Reviews Applying Cross-Domain and Cross-Data Learning. In Proceedings of the 2018 International Conference on Digital Health (DH '18). ACM, New York, NY, USA, 121-125.

As a layman I could acquire most important background knowledge by this precise and well-structure paper

You can’t perform that action at this time.