Understanding-Text

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

Implementation

• 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