Recognizing both literal and figurative meanings is crucial to understanding users' opinions
on various topics or events in social media. Detecting the sarcastic posts on social media …

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 …

The fifth edition of this comprehensive and engaging text guides readers through the
essential tools and skills necessary to conduct quantitative content analysis research …

As the use of automated social media analysis tools surges, concerns over accuracy of
analytics have increased. Some tentative evidence suggests that sarcasm alone could …

Irony detection in social networks has drawn much attention in recent years. In this work, we
propose a three-way decisions based feature fusion method for Chinese irony detection in …

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 …

Recent developments in sarcasm detection have been emerged as extremely successful
tools in Social media opinion mining. With the advent of machine learning tools, accurate …

The researchers have been working rigorously on sarcasm detection on social media over
the last decade. Identifying sarcasm in text is very difficult for humans so researchers …

Sarcasm is widely used in social communities and e-commerce platforms, failing to detect it
in natural language processing tasks leads to false positives, eg, opinion mining and …

Sarcasm is the main reason behind the faulty classification of tweets. It brings a challenge in
natural language processing (NLP) as it hampers the method of finding people's actual …