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 discussed.
A Case-Study for Sentiment Analysis on Twitter / Fornacciari, Paolo; Mordonini, Monica; Tomaiuolo, Michele. - 1382:(2015), pp. 53-58. (Intervento presentato al convegno 16th Workshop "From Objects to Agents" tenutosi a Naples, Italy nel June 17-19, 2015).
A Case-Study for Sentiment Analysis on Twitter
FORNACCIARI, PAOLO;MORDONINI, Monica;TOMAIUOLO, Michele
2015-01-01
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 discussed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
