The aim of this chapter is to differentiate how French candidates made use of Twitter during the 2014 European campaign. We apply unsupervised learning techniques to let clusters of candidates emerge from the data. In particular, the variables used for clustering are operators interpreted by Twitter (hashtags, retweets, hyperlinks, mentions).