Relying on intrinsic word features to characterise subjectivity, polarity and irony of Tweets

Francesco Barbieri, Francesco Ronzano, Horacio Saggion


Anthology ID:
2014.evalita-1.19
Volume:
Proceedings of the Fourth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2014)
Month:
December
Year:
2014
Address:
Pisa, Italy
Editors:
Cristina Bosco, Piero Cosi, Felice Dell’Orletta, Mauro Falcone, Simonetta Montemagni, Maria Simi
Venues:
EVALITA | WS
SIG:
Publisher:
Pisa University Press
Note:
Pages:
104–107
Language:
URL:
https://aclanthology.org/2014.evalita-1.19/
DOI:
10.12871/clicit2014218
Bibkey:
Cite (ACL):
Francesco Barbieri, Francesco Ronzano, and Horacio Saggion. 2014. Relying on intrinsic word features to characterise subjectivity, polarity and irony of Tweets. In Proceedings of the Fourth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2014), pages 104–107, Pisa, Italy. Pisa University Press.
Cite (Informal):
Relying on intrinsic word features to characterise subjectivity, polarity and irony of Tweets (Barbieri et al., EVALITA 2014)
Copy Citation:
PDF:
https://aclanthology.org/2014.evalita-1.19.pdf