Mining User Personality in Twitter

The paper describes how we collected and annotated \Personalitwit", a corpus of 25700 posts from the popular micro-blogging site Twitter, automatically annotated by user personality and by language with two computational linguistic tools. From the analysis of that data emerged how dierent writng styles and personality models are associated to different communitites using dierent devices to post to Twitter.