News Guardian

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Readability comparison graph
Sentiment analysis graph
Frequency comparison graph
Wordcloud
Top 100 people mentioned in factual news bubble graph
Top people mentioned in factual news pie chart

Inspiration

Inspired by the human brain's innate ability to process visual information more efficiently and effectively than raw numerical or textual data.

What it does

Our data visualization tools provide a comprehensive overview of news articles, enabling users to quickly identify patterns, trends, and anomalies in large data sets.

How we built it

We used Spacy, Python NLTK, TextBlob, pandas, etc to preprocess data and perform text analysis. We used matplotlib and D3 JS to our visualization, and our web app is built on top of express js and node js

Challenges we ran into

It was difficult to use D3 JS as most of us are used to using Python frameworks to visualize data, many of us had to watch tutorials and read many documentation, but we were able to overcome this challenge by persevering through it and never giving up :)

Accomplishments that we're proud of

We are proud that we built a fully functioning web application for our data visualization tool, and we used a lot of data analysis natural language processing techniques with NLTK and Spacy

What we learned

We learned how to use D3 JS library, it was the most difficult but we are glad that we overcame the initial steep learning curve and made something really cool and exciting.