The problem TensionNews solves

Our project makes it easier for users to visualize news events and relations between them. We also enable users to see possible correlations between stock prices of companies that interest them and make informed decisions. We solved the problem of visualizing complex news correlation data by adjusting weights between news events according to a cosine similarity matrix.

Challenges we ran into

Using the Yfinance library to find stock prices of companies that we extracted from the news data was challenging since we could not find the stock price ticker for a lot of the companies we found news for. Another problem we faced was displaying the networkx graph we generated and exported using JSON onto the frontend using D3.js