O-Dang! The Ontology of Dangerous Speech Messages

no code implementations • SALLD (LREC) 2022 • Marco A. Stranisci, Simona Frenda, Mirko Lai, Oscar Araque, Alessandra T. Cignarella, Valerio Basile, Viviana Patti, Cristina Bosco

The paper is structured as follows.

#Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection

1 code implementation • 29 Jul 2020 • Mirko Lai, Viviana Patti, Giancarlo Ruffo, Paolo Rosso

Interest has grown around the classification of stance that users assume within online debates in recent years.

Classification General Classification +1

Application and Analysis of a Multi-layered Scheme for Irony on the Italian Twitter Corpus TWITTIR\`O

no code implementations • LREC 2018 • Aless Cignarella, ra Teresa, Cristina Bosco, Viviana Patti, Mirko Lai

Sentiment Analysis

Friends and Enemies of Clinton and Trump: Using Context for Detecting Stance in Political Tweets

no code implementations • 26 Feb 2017 • Mirko Lai, Delia Irazú Hernández Farías, Viviana Patti, Paolo Rosso

Stance detection, the task of identifying the speaker's opinion towards a particular target, has attracted the attention of researchers.

Stance Detection

Tweeting and Being Ironic in the Debate about a Political Reform: the French Annotated Corpus TWitter-MariagePourTous

no code implementations • LREC 2016 • Cristina Bosco, Mirko Lai, Viviana Patti, Daniela Virone

The annotation process is presented and the disagreement discussed, in particular, in the perspective of figurative language use and in that of the semantic oriented annotation, which are open challenges for NLP systems.

Sentiment Analysis