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Overview of the Evalita 2014 SENTIment POLarity Classification Task

Abstract : English. 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. Italiano. Descriviamo modalit a e risultati della campagna di valutazione di sistemi di sentiment analysis (SENTIment POLarity Classification Task), proposta per la prima volta a " Evalita–2014: Evaluation of NLP and Speech Tools for Ital-ian ". In SENTIPOLC e stata valutata la capacit a dei sistemi di riconoscere il sentiment espresso nei messaggi Twitter in lingua italiana. Sono stati proposti tre sotto-task: subjectivity classification, polarity classification e un sotto-task pilota di irony detection. La campagna ha susci-tato molto interesse e ricevuto un totale di 35 run inviati da 11 gruppi di partecipanti.
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Contributor : Valerio Basile Connect in order to contact the contributor
Submitted on : Thursday, November 19, 2015 - 7:49:11 PM
Last modification on : Monday, February 7, 2022 - 4:06:03 PM
Long-term archiving on: : Friday, April 28, 2017 - 2:41:45 PM


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Valerio Basile, Andrea Bolioli, Malvina Nissim, Viviana Patti, Paolo Rosso. Overview of the Evalita 2014 SENTIment POLarity Classification Task. Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩. ⟨hal-01228925⟩



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