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.
Lingua originale | Inglese |
---|---|
Pagine | 322-327 |
Numero di pagine | 6 |
DOI | |
Stato di pubblicazione | Pubblicato - 1 gen 2014 |
Evento | First Italian Conference on Computational Linguistics (CLiC-it 2014) - Pisa Durata: 1 gen 2014 → … |
???event.eventtypes.event.conference???
???event.eventtypes.event.conference??? | First Italian Conference on Computational Linguistics (CLiC-it 2014) |
---|---|
Città | Pisa |
Periodo | 1/01/14 → … |
Keywords
- sentiment analysis
- Corpora
- social media