drug_reviews_druglib_com

The dataset provides patient reviews on specific drugs along with related conditions. Reviews and ratings are grouped into reports on the three aspects benefits, side effects and overall comment.

Additional Information

The dataset provides patient reviews on specific drugs along with related conditions. Furthermore, reviews are grouped into reports on the three aspects benefits, side effects and overall comment. Additionally, ratings are available concerning overall satisfaction as well as a 5 step side effect rating and a 5 step effectiveness rating. The data was obtained by crawling online pharmaceutical review sites. The intention was to study

(1) sentiment analysis of drug experience over multiple facets, i.e. sentiments learned on specific aspects such as effectiveness and side effects,
(2) the transferability of models among domains, i.e. conditions, and
(3) the transferability of models among different data sources (see 'Drug Review Dataset (Drugs.com)').

The data is split into a train (75%) a test (25%) partition (see publication) and stored in two .tsv (tab-separated-values) files, respectively.

Important notes:

When using this dataset, you agree that you
1) only use the data for research purposes
2) don't use the data for any commerical purposes
3) don't distribute the data to anyone else
4) cite us

Aspect-Based Sentiment Analysis of Drug Reviews Applying Cross-Domain and Cross-Data Learning
By F. Graber, Surya Kallumadi, H. Malberg, S. Zaunseder. 2018

Published in Digital Humanities Conference

1. urlDrugName (categorical): name of drug
2. condition (categorical): name of condition
3. benefitsReview (text): patient on benefits
4. sideEffectsReview (text): patient on side effects
5. commentsReview (text): overall patient comment
6. rating (numerical): 10 star patient rating
7. sideEffects (categorical): 5 step side effect rating
8. effectiveness (categorical): 5 step effectiveness rating

For this dataset in OpenML, the target attribute is 'urlDrugName'.