Data · dataset · 2023
DrugRev: A comprehensive customers reviews on drugs purchasing and satisfaction
Listed in Teesside University Research Data Repository
DrugRev is a comprehensive dataset created to provide updated information regarding a user's views of a particular drug.
Description
The data has been collected from drugs.com and stored in a single CSV file. The raw data has been cleaned thoroughly to provide a ready-to-use dataset that can be used for multiple purposes such as Natural Language Processing, Sentiment Analysis, Data Science, Data Analytics, Numerical Analysis, Health Informatics, etc.
The dataset can be found as ‘DrugReviews.csv’ in the repository, and it contains 392510 unique reviews along with the name of the drug, user rating, the credibility of the review in the form of likes, length of the reviews, the condition for which the drug was taken and how long the drug was taken for. Null values which may have been the result of some issues with the old structure of the website have also been handled carefully.
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Also, the sheer number of data columns gives the dataset more versatility to be used in a variety of research fields.
Links
Where it is published
- DOI doi.org/10.17632/64cc5w5dxy.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/64cc5w5dxy.1 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460208 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Natural Language Processing'] |
| concepts[field].anzsrc:field:490302 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Numerical Analysis'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |