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Name: Amazon Customer Reviews Dataset
Description: Amazon Customer Reviews (a.k.a. Product Reviews) is one of Amazon’s iconic products. In a period of over two decades since the first review in 1995, millions of Amazon customers have contributed over a hundred million reviews to express opinions and describe their experiences regarding products on the Amazon.com website. Over 130+ million customer reviews are available to researchers as part of this dataset.
Documentation: https://s3.amazonaws.com/amazon-reviews-pds/readme.html
Contact: customer-review-dataset@amazon.com
ManagedBy: "[Amazon](https://www.amazon.com/)"
UpdateFrequency: Not defined
Tags:
- aws-pds
- natural language processing
- information retrieval
- machine learning
License: https://s3.amazonaws.com/amazon-reviews-pds/LICENSE.txt
Resources:
- Description: TSV files of reviews
ARN: arn:aws:s3:::amazon-reviews-pds
Region: us-east-1
Type: S3 Bucket
DataAtWork:
- Title: How to scale sentiment analysis using Amazon Comprehend, AWS Glue and Amazon Athena
URL: https://aws.amazon.com/blogs/machine-learning/how-to-scale-sentiment-analysis-using-amazon-comprehend-aws-glue-and-amazon-athena/
AuthorName: Roy Hasson
AuthorURL: https://twitter.com/royhasson
- Title: Implementing a recommender system with Amazon SageMaker and Apache MXNet Gluon
URL: https://github.com/awslabs/amazon-sagemaker-examples/blob/master/introduction_to_applying_machine_learning/gluon_recommender_system/gluon_recommender_system.ipynb
AuthorName: David Arpin
AuthorURL: https://github.com/djarpin