The project TweetAggregator is an aggregator allowing intersections of populations of tweets speaking about various subject over geographic areas. It has been renamed to Crosstalk at the end of the phase#2 of its development. This project is the result of the course 'Big Data' 2014 given by Prof. C. Koch at EPFL (École Polytechnique Fédérale de Lausanne), Switzerland.

The resulting application offers the possibility to display for a specific area the correlation between tweets according to two keywords.

For more details see the wiki.

See also the video.

Preview

An example of the tweet activity

This research was done during the European election in 2014. The blue squares are densities of tweets speaking about the elections.

Tweets over Switzerland

In Switzerland, during vote of the 18th May 2014, the population refused to buy 22 new military aircraft called gripen. The party more involved in the promotion of the new military aircrafts was the right-wing party UDC.

• Military gripen planes:

• Politic party UDC:

• Combined:

Tweets at SF comparating keywords: "steak" and "vegan"

The question we tried to answer here was: 'Are downtown inhabitants more vegan?'

• Steak:
• Vegan:

Downtown inhabitants speak less about steak.