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 …

Sarcasm identification on text documents is one of the most challenging tasks in natural
language processing (NLP), has become an essential research direction, due to its …

Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

Sentiment analysis is one of the prominent fields of data mining that deals with the
identification and analysis of sentimental contents generally available at social media …

Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …

Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …

Sarcasm is a type of sentiment where people express their negative feelings using positive
or intensified positive words in the text. While speaking, people often use heavy tonal stress …

Predicting context-dependent and non-literal utterances like sarcastic and ironic
expressions still remains a challenging task in NLP, as it goes beyond linguistic patterns …

This paper investigates negative sentiment tweets with the presence of hyperboles for
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …

Sarcasm expression is a pervasive literary technique in which people intentionally express
the opposite of what is implied. Accurate detection of sarcasm in a text can facilitate the …