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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    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 ...

  3. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    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.

  4. Sentiment analysis - Wikipedia

    en.wikipedia.org/wiki/Sentiment_analysis

    Mainstream recommender systems work on explicit data set. For example, collaborative filtering works on the rating matrix, and content-based filtering works on the meta-data of the items. In many social networking services or e-commerce websites, users can provide text review, comment or feedback to the items. These user-generated text provide ...

  5. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  6. Review aggregator - Wikipedia

    en.wikipedia.org/wiki/Review_aggregator

    A review aggregator is a system that collects reviews and ratings of products and services, such as films, books, video games, music, software, hardware, or cars. This system then stores the reviews to be used for supporting a website where users can view the reviews, selling information to third parties about consumer tendencies, and creating databases for companies to learn about their ...

  7. Amazon Vine - Wikipedia

    en.wikipedia.org/wiki/Amazon_Vine

    The program has been met with criticism over the program's lack of transparency and the professionalism of its reviewers. [22] Kristen McLean, formerly of the Association of Booksellers for Children, commented that Amazon did not initially disclose that publishers paid to have their products included in the Vine program and that "Amazon is not specific about how many people are in the program ...

  8. List of neuroscience databases - Wikipedia

    en.wikipedia.org/wiki/List_of_neuroscience_databases

    All datasets are formatted according to the same format (Brain Imaging Data Structure) and can be accessed via Amazon S3. Human Macroscopic Functional, structural, diffusion MRI, and Magnetoencephalography datasets Healthy and various diseases No [39] Open MEG Archive (OMEGA) Magnetoencephalography, structural MRI datasets, and demographics Human

  9. Recommender system - Wikipedia

    en.wikipedia.org/wiki/Recommender_system

    It is a fairly modern technique inspired by the growing amount of textual information. For application in recommendation system, a common case is the Amazon customer review. Amazon will analyze the feedbacks comments from each customer and report relevant data to other customers for reference.