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Applying basic features from sentiment analysis on automatic irony detection
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Cross-language source code re-use detection using latent semantic analysis
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86 |
Language variety identification using distributed representations of words and documents
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88 |
Cross-domain polarity classification using a knowledge-enhanced meta-classifier
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89 |
On the multilingual and genre robustness of EmoGraphs for author profiling in social media
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92 |
Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01228925 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩ (2014)
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Abstract:
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 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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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; [INFO.INFO-WB]Computer Science [cs]/Web; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; Evaluation; Sentiment Analysis
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URL: https://doi.org/10.12871/clicit201429 https://hal.inria.fr/hal-01228925 https://hal.inria.fr/hal-01228925/file/Sentipolc2014.pdf https://hal.inria.fr/hal-01228925/document
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01195786 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), Dec 2014, Pisa, France. ⟨10.12871/clicit201429⟩ (2014)
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Construction of an ontology for intelligent Arabic QA systems leveraging the Conceptual Graphs representation
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97 |
On the difficulty of automatically detecting irony: beyond a simple case of negation
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Detección de plagio translingüe utilizando una red semántica multilingüe
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A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles
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On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas
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