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sentiment-analysis

dataset used - amazon fine food reviews available on Kaggle

dataset details:

  • reviews from Oct 1999 - Oct 2012
  • 568,454 reviews
  • 256,059 users
  • 74,258 products
  • 260 users with > 50 reviews

parameter in the dataset:

  • Id - review number
  • ProductId - unique identifier for the product
  • UserId - unique identifier for the user
  • ProfileName - profile name of the user
  • HelpfulnessNumerator - number of users who found the review helpful
  • HelpfulnessDenominator - number of users who indicated whether they found the review helpful or not
  • Score - rating between 1 and 5
  • Time - timestamp
  • Summary - summary of the review
  • Text - text of the review

what each file does:

  • read_data.ipynb reads the data and does the basic data cleaning

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