0000000001223686

AUTHOR

Andrea Bolioli

0000-0003-1681-9435

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Overview of the Evalita 2014 SENTIment POLarity Classification Task

2014

International audience; 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 …

Polarity (physics)Computer science02 engineering and technologycomputer.software_genreNLP[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]Task (project management)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]020204 information systems0202 electrical engineering electronic engineering information engineeringSentiment Analysis[SHS.LANGUE]Humanities and Social Sciences/LinguisticsEvaluationsentiment analysis; twitter; irony; NLPironybusiness.industrySentiment analysis[INFO.INFO-WB]Computer Science [cs]/Web[INFO.INFO-TT]Computer Science [cs]/Document and Text Processingtwitter020201 artificial intelligence & image processingArtificial intelligencebusinessIrony detectionSocial MediacomputerNatural language processing
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