The SENTIment POLarity Classification Task (SENTIPOLC), a new shared task in the Evalita evaluation campaign, focused on sentiment classification at the message level on Italian tweets. It included three subtasks: subjectivity classification, polarity classification, and irony detection. SENTIPOLC was the most participated Evalita task with a total of 35 submitted runs from 11 different teams. We present the datasets and the evaluation methodology, and discuss results and participating systems.

Overview of the Evalita 2014 SENTIment POLarity Classification Task

Valerio Basile;PATTI, Viviana;
2014-01-01

Abstract

The SENTIment POLarity Classification Task (SENTIPOLC), a new shared task in the Evalita evaluation campaign, focused on sentiment classification at the message level on Italian tweets. It included three subtasks: subjectivity classification, polarity classification, and irony detection. SENTIPOLC was the most participated Evalita task with a total of 35 submitted runs from 11 different teams. We present the datasets and the evaluation methodology, and discuss results and participating systems.
4th Evaluation Campaign of Natural Language Processing and Speech tools for Italian (EVALITA’14)
Pisa
11 dicembre
Proceedings of the Fourth International Workshop EVALITA 2014
Pisa University Press
50
57
9788867414727
http://www.fileli.unipi.it/projects/clic/proceedings/vol2/clicit201429.pdf
sentiment analysis; twitter; irony; NLP
Valerio Basile; Andrea Bolioli; Malvina Nissim; Viviana Patti; Paolo Rosso
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/154470
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