Social media provide a great amount of valuable information in the form of messages posted by users. Information extracted from posts can be considered like features giving insights about the preferences of users towards certain events. These features can be used to generate recommendations looking forward for upcoming events they might find interesting. In this work we present system for opinion analysis from tweets and recommendation of cultural heritage events. At this aim, we detect the events of interest from Tweets and propose a methodology for associating a sentiment degree with a tweet using NLP techniques.
Opinions analysis in social networks for cultural heritage applications / Amato, Flora; Cozzolino, Giovanni; DI MARTINO, Sergio; Mazzeo, Antonino; Moscato, Vincenzo; Picariello, Antonio; Romano, Sara; Sperli', Giancarlo. - 55:(2016), pp. 577-586. (Intervento presentato al convegno 9th KES International Conference on Intelligent Interactive Multimedia Systems and Services, IIMSS 2016 tenutosi a Canary Islands (Spain) nel June 15-17, 2016) [10.1007/978-3-319-39345-2_51].
Opinions analysis in social networks for cultural heritage applications
AMATO, FLORA;COZZOLINO, GIOVANNI;DI MARTINO, SERGIO;MAZZEO, ANTONINO;MOSCATO, VINCENZO;PICARIELLO, ANTONIO;SPERLI', GIANCARLO
2016
Abstract
Social media provide a great amount of valuable information in the form of messages posted by users. Information extracted from posts can be considered like features giving insights about the preferences of users towards certain events. These features can be used to generate recommendations looking forward for upcoming events they might find interesting. In this work we present system for opinion analysis from tweets and recommendation of cultural heritage events. At this aim, we detect the events of interest from Tweets and propose a methodology for associating a sentiment degree with a tweet using NLP techniques.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
