consumer: Amazon consumer reviews
In emend: Cleaning Text Data with an AI Assistant
consumer R Documentation
Amazon consumer reviews
Description
A sample of reviews from Amazon in the applicances category.
Usage
consumer
Format
A data.frame with 4549 rows and 11 columns
- overall
Overall rating of the product.
- verified
Whether the reviewer is verified or not.
- review_date
Review date.
- review_id
A unique identifier of the reviewer.
- reviewer_name
The name of the reviewer.
- review_text
The text of the review.
- summary
Summary of the review.
- vote_helpful
The number of helpful votes of the review.
- image
The images that the reviewer post after they receive the product.
Source
Jianmo Ni, Jiacheng Li, Julian McAuley (2019) Justifying recommendations using distantly-labeled reviews and fined-grained aspects. Empirical Methods in Natural Language Processing .
emend documentation built on April 4, 2025, 2:38 a.m.
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| consumer | R Documentation |
Amazon consumer reviews
Description
A sample of reviews from Amazon in the applicances category.
Usage
consumer
Format
A data.frame with 4549 rows and 11 columns
- overall
Overall rating of the product.
- verified
Whether the reviewer is verified or not.
- review_date
Review date.
- review_id
A unique identifier of the reviewer.
- reviewer_name
The name of the reviewer.
- review_text
The text of the review.
- summary
Summary of the review.
- vote_helpful
The number of helpful votes of the review.
- image
The images that the reviewer post after they receive the product.
Source
Jianmo Ni, Jiacheng Li, Julian McAuley (2019) Justifying recommendations using distantly-labeled reviews and fined-grained aspects. Empirical Methods in Natural Language Processing .
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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