Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Felicitt` a: Mussa, C. Bosco, V. Patti Visualizing and Estimating Happiness in and G. Ruffo Italian Cities from Geotagged Tweets Analyzing and visualizing data from social media Felicitt` a Architecture L. Allisio, V. Mussa, Sentiment analysis Visualization C. Bosco, V. Patti and G. Ruffo Conclusion and future work Dipartimento di Informatica, Universit` a di Torino December 3, 2013
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, Outline C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data Analyzing and visualizing data from social media from social media Felicitt` a Felicitt` a Architecture Architecture Sentiment analysis Sentiment analysis Visualization Conclusion and Visualization future work Conclusion and future work
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and Analyzing and visualizing data from social visualizing data from social media media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Social media users generated contents represent the Geotagged Tweets human behavior in everyday life, but ... L. Allisio, V. Mussa, how to analyze data from social media? C. Bosco, V. Patti and G. Ruffo how to connect quantitative research with theories that would qualitatively explain the observed and Analyzing and visualizing data modeled phenomena? from social media Felicitt` a how to visualize data from social media? Architecture Sentiment analysis statistical tools, machine learning techniques, Visualization large-scale network analysis and natural language Conclusion and future work modeling are hard to be applied by many skilled sociologists and communication scientists that do not want to deal directly with raw data or abstract models.
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data Felicitt` a from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a http://www.felicitta.net Architecture Sentiment analysis Visualization Conclusion and An online platform for estimating future work happiness in Italian cities which provides visualization techniques to interactively explore the result of sentiment analysis performed over geotagged Tweets
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets Felicitt` a is L. Allisio, V. Mussa, a fully implemented visualization system to estimate C. Bosco, V. Patti and G. Ruffo the level of happiness in a given geographical area Analyzing and based on geotagged Tweets, overlaying different visualizing data from social media analysis engines and visualization techniques Felicitt` a a particular instantiation of the system, where a Architecture Sentiment analysis sentiment analysis engine for detecting Italian Visualization Tweets’ sentiment polarity has been developed and Conclusion and future work employed in order to estimate happiness in Italian cities and regions
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets Architecture L. Allisio, V. Mussa, C. Bosco, V. Patti The Felicitt` a framework includes: and G. Ruffo geotagged information retrieval from social media Analyzing and visualizing data APIs from social media data enrichment with socio demographic information Felicitt` a Architecture from statistics and other sources (e.g. ISTAT, Italian Sentiment analysis Visualization National Institute of Statistics) Conclusion and future work analysis of data producing an estimation of the general sentiment at different geographical and temporal scales visualization of analysis results
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work The Felicitt` a framework
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets Sentiment analysis L. Allisio, V. Mussa, C. Bosco, V. Patti The analysis engine performs three main steps: and G. Ruffo pre-parsing : Tweets collection and cleaning by Analyzing and visualizing data deletion or substitution of emoticons, links, mentions from social media of other users and redundant punctuation Felicitt` a Architecture parsing : Tweets morpho–syntactic analysis and Sentiment analysis Visualization lemmatization (by Freeling) Conclusion and future work analysis : match of content words with MultiWordNet and WordNet–Affect entries, aggregation of single words polarities, aggregation according to geolocation of Tweets polarities
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets Visualization L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Visualization techniques are adopted to support researchers and practitioners to explore the data about Analyzing and visualizing data happiness in Italian cities. from social media Felicitt` a Three main views are implemented for describe Architecture Sentiment analysis happiness in regions, cities and top ten happiest Visualization places. Conclusion and future work An interactive interface where users can request for giving more contextual and quantitative details on maps, plots, tag clouds and other charts.
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets Happiness in the cities L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Felicitt` a shows in the view Citt` a for each day: Analyzing and a map of Italy visualizing data from social media a round marker for each town, which assumes Felicitt` a different colors and sizes according to affective Architecture Sentiment analysis status and amount of posted messages Visualization Conclusion and an ordered score of the Italian towns future work details about the evaluation expressed by the system and Tweets posted there to test the reliability of the evaluation, for each city selected by the user
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work The view Citt` a
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti Happiness in the regions and G. Ruffo Analyzing and visualizing data Felicitt` a shows in the view Regions for each day: from social media a map of Italy where the regions are colored Felicitt` a Architecture according to their affective status Sentiment analysis Visualization a score of the regions from the happiest to the less Conclusion and future work happy
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work The view Regions
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Top ten happiest places Mussa, C. Bosco, V. Patti and G. Ruffo Felicitt` a shows in the view Top ten for each day: Analyzing and visualizing data a map showing all the Tweets positioned within the from social media Felicitt` a area where they have been posted; by moving on the Architecture map, the user can zoom in to find the exact position Sentiment analysis Visualization of Tweets on the map and also to read them Conclusion and future work each Tweet is represented by a marker colored according to its detected affective polarity
Felicitt` a: Visualizing and Estimating Happiness in Italian Cities from Geotagged Tweets L. Allisio, V. Mussa, C. Bosco, V. Patti and G. Ruffo Analyzing and visualizing data from social media Felicitt` a Architecture Sentiment analysis Visualization Conclusion and future work The view Top ten
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