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.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
clicit201429.pdf
Accesso aperto
Tipo di file:
PDF EDITORIALE
Dimensione
181.42 kB
Formato
Adobe PDF
|
181.42 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.