Data di Pubblicazione:
2016
Abstract:
The SENTIment POLarity Classification Task 2016 (SENTIPOLC), is a rerun of the shared task on sentiment classification
at the message level on Italian tweets proposed for the first time in 2014 for the Evalita evaluation campaign. It includes three subtasks: subjectivity classification, polarity classification, and irony detection. In 2016 SENTIPOLC has been again the most participated EVALITA task
with a total of 57 submitted runs from 13 different teams. We present the datasets – which includes an enriched annotation scheme for dealing with the impact on polarity of a figurative use of language – the evaluation methodology, and discuss results and participating systems.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Sentiment analysis, Twitter, Irony Detection, Evaluation campaign, Natural Language Processing
Elenco autori:
Barbieri, Francesco; Basile, Valerio; Croce, Danilo; Nissim, Malvina; Novielli, Nicole; Patti, Viviana
Link alla scheda completa:
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in: