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Amazon reviews US product reviews from Amazon.com. None. 233.1 million Text Classification, sentiment analysis 2015 (2018) [6] [7] McAuley et al. OpinRank Review Dataset Reviews of cars and hotels from Edmunds.com and TripAdvisor respectively. None. 42,230 / ~259,000 respectively Text Sentiment analysis, clustering 2011 [8] [9] K. Ganesan et al ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Launched in 2007, [1] [2] Amazon Vine is an internal service of Amazon.com that allows manufacturers and publishers to receive reviews for their products on Amazon. [3] [4] [5] Companies pay a fee to Amazon and provide products for review. The products are then passed to Amazon reviewers, who can publish a review.
The API allows clients to search or browse Amazon.com's product catalog; to retrieve detailed product information, reviews, and images; and to interface with customer shopping carts. Purchases at Amazon through a third-party website or application allows the operators of that site to earn up to 8.5% in referral fees. [3]
An Amazon.com exclusive is a product, that is available exclusively on Amazon.com. Some DVDs are produced by the owner of the film or product, while others are produced by Amazon.com itself. The DVDs produced by Amazon are made using its "CreateSpace" program, in which DVDs are created, upon ordering, using DVD-R technology.
A user review of a product on Amazon.com. A user review is a review conducted by any person who has access to the internet and publishes their experience to a review site or social media platform following product testing or the evaluation of a service. [1]
Amazon SageMaker AI is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning (ML) models on the cloud. [1] It can be used to deploy ML models on embedded systems and edge-devices. [2] [3] The platform was launched in November 2017. [4]
The funding was led by Salesforce, and notable participation came from Google, Amazon, Nvidia, AMD, Intel, IBM, and Qualcomm. [12] In June 2024, the company announced, along with Meta and Scaleway, their launch of a new AI accelerator program for European startups. This initiative aims to help startups integrate open foundation models into ...