Contributed by Andrew Reddy, Ben Yang, and Jeffrey Tsang

Goal of Project

  • Create an easier way to view product reviews from customers
  • Summarize reviews beyond simple star rating system
  • Provide highlights about best and worst qualities of product from customers


  • Codebase was created in HTML/CSS for the front-end display, and Python for the back-end development
  • Used Natural Language Processing techniques to conduct semantic and sentiment analysis of reviews
  • Created an unsupervised topic model to extract high level concepts of feedback for the product
  • Used Django for Python back-end integration
  • Base of Data Mining for Product Reviews is Amazon
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