Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

The rapid growth of the internet has reached the fourth generation, ie, web 4.0, which
supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk …

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

With the increasing popularity of posting multimodal messages online, many recent studies
have been carried out utilizing both textual and visual information for multi-modal sarcasm …

Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

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 has been an elusive concept for humans. Due to interesting linguistic properties,
sarcasm detection has gained traction of the Natural Language Processing (NLP) research …

Sarcasm is a linguistic phenomenon indicating a discrepancy between literal meanings and
implied intentions. Due to its sophisticated nature, it is usually challenging to be detected …

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 …

Sarcasm is often expressed through several verbal and non-verbal cues, eg, a change of
tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the …