While favouring communications and easing information sharing, Social Network Sites are
also used to launch harmful campaigns against specific groups and individuals …

Over the last decade industrial and academic communities have increased their focus on
sentiment analysis techniques, especially applied to tweets. State-of-the-art results have …

In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …

Irony has been proven to be pervasive in social media, posing a challenge to sentiment
analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a …

Develo** corpora for sentiment analysis and opinion mining: the case of irony and Senti-TUT
Page 1 1 Abstract—In recent years several efforts were devoted to automatically mining …

Abstract The Sentiment Polarity Classification Task 2016 (SENTIPOLC), is a rerun of the
shared task on sentiment classification at the message level on Italian tweets proposed for …

This paper introduces IroSvA, the first shared task fully dedicated to identify the presence of
irony in short messages (tweets and news comments) written in three different variants of …

IronITA is a new shared task in the EVALITA 2018 evaluation campaign, focused on the
automatic classification of irony in Italian texts from Twitter. It includes two tasks: 1) irony …

The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …

This paper provides a linguistic and pragmatic analysis of the phenomenon of irony in order
to represent how Twitter's users exploit irony devices within their communication strategies …