Felicittà: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets
Contributo in Atti di convegno
Data di Pubblicazione:
2013
Abstract:
Felicitta is an online platform for estimating happiness in
the Italian cities, which uses Twitter as data source and combines sentiment analysis and visualization techniques in order to provide users with an interactive interface for data exploration. In particular, Felicitta daily analyzes Twitter posts and exploits temporal and geo-spatial information related to Tweets in order to easy the summarization of sentiment analysis outcomes and the exploration of the Twitter data. By interactive maps it provides users with the possibility to have a comprehensive
overview of the sentiment analysis results about the main Italian cities,
and with the opportunity to zoom-in to a specific region to visualize a fine-grained map of the city or district as well as the location of the individual sentiment-labeled Tweets. The platform allow users to tune their view on such huge amount of information and to interactively reduce the inherent complexity, possibly providing an hint for finding meaningful patterns, and correlations between moods and events.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
twitter; sentiment analysis; data analysis and visualization
Elenco autori:
Allisio, Leonardo; Mussa, Valeria; Bosco, Cristina; Patti, Viviana; Ruffo, Giancarlo Francesco
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
Emotion and Sentiment in Social and Expressive Media 2013
Pubblicato in: