University of Toronto CSC110 Final Project
This project aims to evaluate how the media portrays online education through sentiment scores.
This project scraped thousands of news paper articles from the New York Times in a specified time frame. It them uses natural language processing to provide a sentiment score on the medias outlook on online learning. This is then plotted on a graph for the users visualization.
All contents in this project is original to the authors: Luke Cheseldine, Samuel Liu, Daniel Qiu, Youssef Barakat