Sentiment analysis is a computational technique that analyses the subjective information
conveyed within a given expression. This encompasses appraisals, opinions, attitudes or …

Sarcasm detection and humor classification are inherently subtle problems, primarily due to
their dependence on the contextual and non-verbal information. Furthermore, existing …

Sentiment Analysis (SA) has become an extremely sought after area of research especially
post COVID-19 when people used to spent a lot of time on the social media to interact with …

While sentiment and emotion analysis have been studied extensively, the relationship
between sarcasm and emotion has largely remained unexplored. A sarcastic expression …

Sarcasm is important to sentiment analysis on social media. Sarcasm Target Identification
(STI) deserves further study to understand sarcasm in depth. However, text lacking context …

Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its
subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is …

Online social media (OSM) is an integral part of human life these days. Significantly, the
young generation spends most of their time on social media in an active and passive state …

Sarcasm is a type of irony, characterized by an inherent mismatch between the literal
interpretation and the intended connotation. Though sarcasm detection in text has been …

Multimodal sarcasm recognition uses a combination of acoustic, video, and text-based cues
to detect sarcasm. Though multimodal approaches have outperformed unimodal detection …

Sarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an
utterance. Sarcasm is widely used on social media and other forms of computer-mediated …