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Overview of the Evalita 2016 SENTIment POLarity Classification Task

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.
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Submitted on : Monday, December 12, 2016 - 3:09:57 PM
Last modification on : Thursday, January 20, 2022 - 4:13:39 PM
Long-term archiving on: : Tuesday, March 28, 2017 - 12:38:25 AM


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  • HAL Id : hal-01414731, version 1



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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