In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

Artificial intelligence is changing the world, especially the interaction between machines and
humans. Learning and interpreting natural languages and responding have paved the way …

Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Transfer learning (TL) has been successfully applied to many real-world problems that
traditional machine learning (ML) cannot handle, such as image processing, speech …

Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …

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 …

Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …

Irony and sarcasm detection is considered a complex task in Natural Language Processing.
This paper set out to explore the sarcasm and irony on Twitter, using Machine Learning and …

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 …