This dataset is an updated and expanded version of the Amazon review dataset originally released in 2014. It contains a comprehensive collection of customer reviews, product metadata, and relational links useful for recommendation systems and data analysis.
Ideal for building and evaluating machine learning models in sentiment analysis, recommendation systems, opinion mining, and other NLP and data mining tasks.
Typically available in JSON or CSV formats.
Source:
https://snap.stanford.edu/data/web-Amazon-links.html
Data Type
Real
Default Task
Classification,Regression
Attribute Type
Multivariate, Sequential, Temporal aspect
Published Year
2018
Area of Dataset
Includes ratings, review text, and helpfulness votes
Missing Values
Yes
No. of Instances
233 million
No. of Attributes
16+
| Data Type | Real | Default Task | Classification,Regression |
|---|---|---|---|
| Attribute Type | Multivariate, Sequential, Temporal aspect | Published Year | 2018 |
| Area of Dataset | Includes ratings, review text, and helpfulness votes | Missing Values | Yes |
| No. of Instances | 233 million | No. of Attributes | 16+ |
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