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SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter
TLDR
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and women in Spanish and English messages extracted from Twitter. Expand
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An Italian Twitter Corpus of Hate Speech against Immigrants
TLDR
The paper proposes an investigation on the role of populist themes and rhetoric in an Italian Twitter corpus of hate speech against immigrants. Expand
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Hurtlex: A Multilingual Lexicon of Words to Hurt
TLDR
We describe the creation of HurtLex, a multilingual lexicon of hate words. Expand
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Developing Corpora for Sentiment Analysis: The Case of Irony and Senti-TUT
TLDR
Senti-TUT-an ongoing Italian project that investigates sentiment and irony in online political discussions-illustrates how to develop corpora for mining and analyzing opinion and sentiment in social media. Expand
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SemEval 2018 Task 2: Multilingual Emoji Prediction
TLDR
This paper describes the SemEval 2018 shared task in multilingual emoji prediction. Expand
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Figurative messages and affect in Twitter: Differences between #irony, #sarcasm and #not
TLDR
A new dataset of over 10,000 tweets including a high variety of figurative language types, manually annotated with sentiment scores, has been released in the context of SemEval-2015. Expand
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Overview of the Evalita 2016 SENTIment POLarity Classification Task
TLDR
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. Expand
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
TLDR
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. Expand
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Ontology-based affective models to organize artworks in the social semantic web
TLDR
We present a framework where methods and tools from a set of disciplines, ranging from Semantic and Social Web to Natural Language Processing, provide us the building blocks for creating a semantic social space to organize artworks according to an ontology of emotions. Expand
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14-ExLab@UniTo for AMI at IberEval2018: Exploiting Lexical Knowledge for Detecting Misogyny in English and Spanish Tweets
TLDR
We describe our participation to the Automatic Misogyny Identification (AMI) shared task at IberEval 2018. Expand
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