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 …

The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …

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 is a complicated linguistic term commonly found in e-commerce and social media
sites. Failure to identify sarcastic utterances in Natural Language Processing applications …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

Irony has been proven to be pervasive in social media, posing a challenge to sentiment
analysis systems. It is a creative linguistic phenomenon where affect-related aspects play a …

Across the globe, there is a noticeable upward trend of incorporating sarcasm in everyday
life. This trend can be easily attributed to the frequent use of sarcasm in everyday life, but …

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 …

The frequent usage of figurative language on online social networks, especially on Twitter,
has the potential to mislead traditional sentiment analysis and recommender systems. Due …

Feature importance evaluation is one of the prevalent approaches to interpreting Machine
Learning (ML) models. A drawback of using these methods for high-dimensional datasets is …