Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews
-
Updated
Oct 19, 2020 - Jupyter Notebook
Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews
Design to build an ETL process for Amazon Review datasets. Two datasets are chosen: Amazon Japan and Amazon Kitchenware. Analyze each dataset and determine if Amazon's vine program is trustworthy or not.
Analyzed reviews for Music products on Amazon written by members of the paid, Amazon Vine program looking for potential bias in the reviews. PySpark was used to extract and transform the review data, which was connected to an Amazon Web Service RDS and loaded into pfAdmin.
Add a description, image, and links to the amazon-vine-analysis topic page so that developers can more easily learn about it.
To associate your repository with the amazon-vine-analysis topic, visit your repo's landing page and select "manage topics."