nowfound

Work · October 23, 2013

NH

News headline analysis of over 140,000 headlines over several years

This is the result of an 8 day final project for DBC Chicago. Our team scraped over 140,000 headlines of several news agencies stretching back several years. We then took those headlines and fed them through the AlchemyAPI sentiment analysis engine to assign each one a score. They were then plotted in a couple different ways using D3. This is far from perfect and even farther from scientific. It was done in 8 days by some passionate amateur developers. It was however a lot of fun and very interesting. You can read about it and the team in more detail on the repo page here:…

News headline analysis of over 140,000 headlines over several years launched on October 23, 2013 with 9 votes, #115 of 565 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.

Visit headlines-and-data.herokuapp.com ↗Alternativestop 20% of October 2013

What it does

In the maker’s words, at launch

This is the result of an 8 day final project for DBC Chicago. Our team scraped over 140,000 headlines of several news agencies stretching back several years. We then took those headlines and fed them through the AlchemyAPI sentiment analysis engine to assign each one a score. They were then plotted in a couple…

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