In this small project, a very rough estimation of the mood of the world is performed through the daily analysis of the headlines of several news websites. In total, 36 websites are scanned, which are divided in 8 arbitrary regions: Africa, Asia, Australia, Europe, Latin America, Middle East, Russia and USA. A very basic sentiment analysis is done by comparing the extracted text with a  sentiment lexicon   of rated words. 

That's how looked the evolution of the mood in different regions of the world from August to October 2014:

With the Python library Bokeh it's easy to plot your data interactively on top of Google Maps. Here I am plotting the area and population of the different boroughs of Berlin:

And here I plot the density of the boroughs of Berlin on top of the satellite image: