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Overview of the Evalita 2016 SENTIment POLarity Classification Task

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Abstract

English. 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.
Descriviamo modalità e risul-tati della seconda edizione della campagna di valutazione di sistemi di sentiment analysis (SENTIment POLarity Classification Task), proposta nel contesto di " EVALITA 2016: Evaluation of NLP and Speech Tools for Italian ". In SENTIPOLCè SENTIPOLC`SENTIPOLCè stata valutata la capacità dei sistemi di riconoscere diversi aspetti del sentiment espresso nei messaggi Twitter in lingua italiana, con un'articolazione in tre sotto-task: subjectivity classification, polarity classification e irony detection. La cam-pagna ha suscitato nuovamente grande interesse, con un totale di 57 run inviati da 13 gruppi di partecipanti.
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Dates and versions

hal-01414731 , version 1 (12-12-2016)

Identifiers

  • HAL Id : hal-01414731 , version 1

Cite

Francesco Barbieri, Valerio Basile, Danilo Croce, Malvina Nissim, Nicole Novielli, et al.. Overview of the Evalita 2016 SENTIment POLarity Classification Task. Proceedings of Third Italian Conference on Computational Linguistics (CLiC-it 2016) & Fifth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2016), Dec 2016, Naples, Italy. ⟨hal-01414731⟩
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