Amazon Fine Food Reviews Analysis Data source : https://www.kaggle.com/snap/amazon-fine-food-reviews
EDA: https://nycdatascience.com/blog/student-works/amazon-fine-foods-visualization/
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
Objective Classfication of positive and negative reviews used ML algo Given a review, determine wheter the review is positive (rating 4 or 5) or negative
Given a review, determine whether the review is positive (rating of 4 or 5) or negative (rating of 1 or 2).
[Q] How to determine if a review is positive or negative?
[Ans] We could use Score/Rating. A rating of 4 or 5 can be cosnidered as a positive review. A rating of 1 or 2 can be considered as negative one. A review of rating 3 is considered nuetral and such reviews are ignored from our analysis. This is an approximate and proxy way of determining the polarity (positivity/negativity) of a review.