Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

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 …

NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment
analysis and related tasks, researchers have therefore used binarized emoticons and …

Abstract iSarcasmEval is the first shared task to target intended sarcasm detection: the data
for this task was provided and labelled by the authors of the texts themselves. Such an …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

In recent years, larger and deeper models are springing up and continuously pushing state-
of-the-art (SOTA) results across various fields like natural language processing (NLP) and …

Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …

Sarcasm is a sophisticated linguistic phenomenon to express the opposite of what one really
means. With the rapid growth of social media, multimodal sarcastic tweets are widely posted …

Irony as a literary technique is widely used in online texts such as Twitter posts. Accurate
irony detection is crucial for tasks such as effective sentiment analysis. A text's ironic intent is …