Overview of the evalita 2014 sentiment polarity classification task

摘要: 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 modalitae 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 Italian”. In SENTIPOLCe stata valutata la capacita dei sistemi di riconoscere il sentiment espresso nei messaggi Twitter in lingua italiana. Sono stati proposti tre