Be Conscientious, Express your Sentiment!

This paper addresses the issue of how personality recognition can be helpful for sentiment analysis. We exploited the corpus for sentiment analysis released for the SEMEVAL 2013, we automatically annotated personality labels by means of an unsupervised system for personality recognition. We validated the automatic annotation on a small set of Twitter users, whose personality types have been collected by means of an online test. Results show that hashtag position and conscientiousness are the best predictors of sentiment in Twitter.