The paper describes the ongoing experience at the University of Turin in developing linguistic resources and tools for sentiment analysis of social media. We describe in particular the development of Senti-TUT, a human annotated corpus of Italian Tweets including labels for sentiment polarity and irony, which has been recently exploited within the SENTIment POLarity Classification shared task at Evalita 2014. Furthermore, we report about our ongoing work on the Felicittà web-based platform for estimating happiness in Italian cities, which provides visualization techniques to interactively explore the results of sentiment analysis performed over Italian geotagged Tweets.

Developing corpora and tools for sentiment analysis: the experience of the University of Turin group

SANGUINETTI, MANUELA;SULIS, EMILIO;PATTI, Viviana;RUFFO, Giancarlo Francesco;ALLISIO, LEONARDO;MUSSA, VALERIA;BOSCO, CRISTINA
2014

Abstract

The paper describes the ongoing experience at the University of Turin in developing linguistic resources and tools for sentiment analysis of social media. We describe in particular the development of Senti-TUT, a human annotated corpus of Italian Tweets including labels for sentiment polarity and irony, which has been recently exploited within the SENTIment POLarity Classification shared task at Evalita 2014. Furthermore, we report about our ongoing work on the Felicittà web-based platform for estimating happiness in Italian cities, which provides visualization techniques to interactively explore the results of sentiment analysis performed over Italian geotagged Tweets.
First Italian Conference on Computational Linguistics (CLiC-it 2014)
Pisa
9-10 Dicembre 2014
Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014
Pisa University Press
322
327
9788867414727
http://www.fileli.unipi.it/projects/clic/proceedings/vol1/CLICIT2014162.pdf
sentiment analysis; Corpora; social media; twitter
Manuela Sanguinetti; Emilio Sulis; Viviana Patti; Giancarlo Ruffo; Leonardo Allisio; Valeria Mussa; Cristina Bosco
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/154468
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