A notebook to analyze Amazon Recommendation Review Dataset.

Last update: Aug 22, 2022

Related tags

Data Analysis amazon recommendation amazon-dataset amazon-beauty

Overview

Amazon Recommendation Review Dataset Analyzer

A notebook to analyze Amazon Recommendation Review Dataset.

Features

Calculates distinct user count, distinct item count and total review count as basic stats.

Removes users with less than 5 reviews, then caluclates basic stats for filtered dataset.

Calculates mean and median review count per user, then plots a boxplot for review count per user.

Calculates average review point per user, then plots a boxplot for it.

Calculates mean and median review count per item, then plots a boxplot for review count per item.

Calculates average review point per item, then plots a boxplot for it.

Calculates word count per review, then plots a boxplot for it.

Calculates total word count in all reviews of the item, then plots a boxplot for it.

Calculates total word count in all reviews of the user, then plots a boxplot for it.

References:

1.J. McAuley and J. Leskovec. Hidden factors and hidden topics: understanding rating dimensions with review text. RecSys, 2013.

2.http://jmcauley.ucsd.edu/data/amazon/

Owner

isleki

isleki

GitHub Repository

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