Data Source: https://www.kaggle.com/snap/amazon-fine-food-reviews
Given a review, determine whether the review is positive (Rating of 4 or 5) or negative (rating of 1 or 2).
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Text pre-processing using Natural Language Processing.
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Data visualisation using t-sne algorithm.
The Amazon Fine Food Reviews dataset consists of reviews of fine foods from Amazon.
Number of reviews: 568,454
Number of users: 256,059
Number of products: 74,258
Timespan: Oct 1999 - Oct 2012
Number of Attributes/Columns in data: 10
Attribute Information:
Id
ProductId - unique identifier for the product
UserId - unqiue identifier for the user
ProfileName
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 for the review
Summary - brief summary of the review
Text - text of the review