Skip to main navigation Skip to search Skip to main content

Felicittà: Visualizing and estimating happiness in Italian cities from geotagged Tweets

  • Leonardo Allisio
  • , Valeria Mussa
  • , Cristina Bosco
  • , Viviana Patti
  • , Giancarlo Ruffo

Research output: Contribution to journalConference articlepeer-review

Abstract

Felicittà1 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, Felicittà 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.

Original languageEnglish
Pages (from-to)95-106
Number of pages12
JournalCEUR Workshop Proceedings
Volume1096
Publication statusPublished - 2013
Externally publishedYes
Event1st International Workshop on Emotion and Sentiment in Social and Expressive Media, ESSEM 2013 - Turin, Italy
Duration: 3 Dec 2013 → …

Keywords

  • Data analysis and visualization
  • Sentiment analysis
  • Twitter

Fingerprint

Dive into the research topics of 'Felicittà: Visualizing and estimating happiness in Italian cities from geotagged Tweets'. Together they form a unique fingerprint.

Cite this