amazon-reviews.yaml

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:
  Tutorials:
    - 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
    - Title: Querying Review Data with Kognitio AWS Marketplace product using SQL
      URL: https://www.linkedin.com/pulse/100-shades-grey-other-amazon-review-discoveries-mark-chopping/
      AuthorName: Mark Chopping
      AuthorURL: https://twitter.com/markchopping1
  Tools & Applications:
  Publications: