A Case-Study for Sentiment Analysis on Twitter Paolo Fornacciari, Monica Mordonini and Michele Tomaiuolo Dipartimento di Ingegneria dell’Informazione Università degli Studi di Parma Parma, Italy e-mail: paolo.fornacciari@studenti.unipr.it, {monica.mordonini, michele.tomaiuolo}@unipr.it Abstract — Microblogging platforms like Twitter can convey short messages to direct contacts, but also to other potentially interested users. They are actively exploited either by individual users or whole organizations and companies. This paper describes some results we obtained from the Social Network and Sentiment Analysis of a Twitter channel, related to a pop music event. Apart from the particular results, a methodology and some guidelines for the automatic classification of Twitter content are

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