UNIBA at EVALITA 2014-SENTIPOLC Task Predicting tweet sentiment polarity combining micro-blogging, lexicon and semantic features

P. 58-63

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  • Part-of-Speech tagging strategy for MIDIA : a diachronic corpus of the Italian language
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  • Distributional analysis of copredication : towards distinguishing systematic polysemy from coercion
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  • Publishing Parole Simple Clips as linguistic linked open data
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  • Più l'ascolto e più mi piace! Social media e radio : uno studio preliminare del successo dei post
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  • An Italian corpus for aspect based sentiment analysis of movie reviews
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  • Coreference resolution for Italian : assessing the impact of linguistic components
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  • A context based model for Sentiment Analysis in Twitter for the Italian language
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  • Semantic role annotation of instrument subjects
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  • The Italian module for NooJ
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  • The Evalita 2014 Dependency Parsing task
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  • Dependency Parsing Techniques for Information Extraction
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  • Comparing State-of-the-art Dependency Parsers for the EVALITA 2014 Dependency Parsing Task
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  • Overview of the Evalita 2014 SENTIment POLarity Classification Task
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  • UNIBA at EVALITA 2014-SENTIPOLC Task Predicting tweet sentiment polarity combining micro-blogging, lexicon and semantic features
  • ITGetaruns a Linguistic Rule-Based System for Pragmatic Text Processing
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  • Subjectivity, Polarity and Irony Detection : a Multi-Layer Approach
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  • IRADABE : Adapting English Lexicons to the Italian Sentiment Polarity Classification task
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  • Linguistically-motivated and Lexicon Features for Sentiment Analysis of Italian Tweets
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  • The CoLing Lab system for Sentiment Polarity Classification of tweets
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  • The FICLIT+CS@UniBO System at the VALITA 2014 Sentiment Polarity Classification Task
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  • A Multiple Kernel Approach for Twitter Sentiment Analysis in Italian
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  • Relying on intrinsic word features to characterise subjectivity, polarity and irony of Tweets
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  • Self-Evaluating Workflow for Language-Independent Sentiment Analysis
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  • Forced Alignment on Children Speech
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  • Human and Machine Language / Dialect Identification from Natural Speech and Artificial Stimuli : a Pilot Study with Italian Listeners
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