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.

Felicittà: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets

ALLISIO, LEONARDO;MUSSA, VALERIA;BOSCO, CRISTINA;PATTI, Viviana;RUFFO, Giancarlo Francesco
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.
1st International Workshop on Emotion and Sentiment in Social and Expressive Media: approaches and perspectives from AI
Turin, Italy
03/12/2013
Emotion and Sentiment in Social and Expressive Media 2013
CEUR Workshop Porceedings
1096
95
106
http://ceur-ws.org/Vol-1096/paper8.pdf
twitter; sentiment analysis; data analysis and visualization
Allisio, Leonardo; Mussa, Valeria; Bosco, Cristina; Patti, Viviana; Ruffo, Giancarlo Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/146317
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