Sentiment analysis in Twitter is a field that has recently attracted research interest. Twitter is
one of the most popular microblog platforms on which users can publish their thoughts and …

The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …

This paper presents the first shared task on irony detection: given a tweet, automatic natural
language processing systems should determine whether the tweet is ironic (Task A) and …

Figurative language (FL) seems ubiquitous in all social media discussion forums and chats,
posing extra challenges to sentiment analysis endeavors. Identification of FL schemas in …

Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …

We introduce a deep neural network for automated sarcasm detection. Recent work has
emphasized the need for models to capitalize on contextual features, beyond lexical and …

Automatic detection of figurative language is a challenging task in computational linguistics.
Recognising both literal and figurative meaning is not trivial for a machine and in some …

An important task of public health officials is to keep track of health issues, such as
spreading epidemics. In this paper, we are addressing the issue of spreading public concern …

As the use of automated social media analysis tools surges, concerns over accuracy of
analytics have increased. Some tentative evidence suggests that sarcasm alone could …

This overview presents the Author Profiling shared task at PAN 2022. This year's task
(IROSTEREO) focuses on determining whether the author of a Twitter feed is keen to spread …