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Task 1: Import dataset

In this tutorial, we'll be working with the Amazon Fine Foods Reviews dataset. This dataset comprises reviews of various fine foods available on Amazon, spanning over a decade from October 1999 to October 2012. It encompasses a wealth of information, including product details, user information, ratings, and textual reviews. Additionally, it encompasses reviews from diverse categories on Amazon. The robust dataset contains 568,454 reviews from 256,059 users on 74,258 products, with a subset of 260 users who have contributed more than 50 reviews each.

Our aim is to study these reviews and try and predict whether a review is positive or negative.

Let's import the dataset.

  1. Click + ADD DATASET (OR DRAG & DROP).
  2. Select AMAZON S3.
  3. In the search bar, enter:
    s3://data.h2o.ai/DAI-Tutorials/MLI Tutorials/1fva87lvvv0pmd-AmazonFineFoodReviews.csv
  4. Select the Amazon Fine Foods Reviews dataset.
  5. Click Click to import selection.
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