We explore linguistic features that contribute to sarcasm detection. The linguistic features that we investigate are a combination of text and word complexity, stylistic and psychological features. We experiment with sarcastic tweets with and without context. The results of our experiments indicate that contextual information is crucial for sarcasm prediction. One important observation is that sarcastic tweets are typically incongruent with their context in terms of sentiment or emotional load
Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually...
Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with...
This paper analyzes the problem of figurative language detection on social media, with a focus on th...
Sarcasm production and comprehension have been traditionally described in terms of pragmatic factors...
Sentiment analysis is a technique to identify people’s opinion, attitude, sentiment,and emotion towa...
Nowadays, sarcasm recognition and detection simplified with various domains knowledge, among others,...
Sarcasm can radically alter or invert a phrase's meaning. Sarcasm detection can therefore help impro...
Sarcasm detection in dialogues has been gaining popularity among natural language processing (NLP) r...
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual p...
Irony and sarcasm are two complex linguistic phenomena that are widely used in everyday language and...
Sarcasm is verbal irony that is intended to mock or ridicule. Existing sentiment analysis systems sh...
State-of-the-art approaches for sarcasm detection in social media combine lexical clues with context...
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sen...
Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not just aut...
abstract: Sarcasm is a nuanced form of language where usually, the speaker explicitly states the opp...
Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually...
Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with...
This paper analyzes the problem of figurative language detection on social media, with a focus on th...
Sarcasm production and comprehension have been traditionally described in terms of pragmatic factors...
Sentiment analysis is a technique to identify people’s opinion, attitude, sentiment,and emotion towa...
Nowadays, sarcasm recognition and detection simplified with various domains knowledge, among others,...
Sarcasm can radically alter or invert a phrase's meaning. Sarcasm detection can therefore help impro...
Sarcasm detection in dialogues has been gaining popularity among natural language processing (NLP) r...
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual p...
Irony and sarcasm are two complex linguistic phenomena that are widely used in everyday language and...
Sarcasm is verbal irony that is intended to mock or ridicule. Existing sentiment analysis systems sh...
State-of-the-art approaches for sarcasm detection in social media combine lexical clues with context...
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to sen...
Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not just aut...
abstract: Sarcasm is a nuanced form of language where usually, the speaker explicitly states the opp...
Sarcasm can be defined as saying or writing the opposite of what one truly wants to express, usually...
Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with...
This paper analyzes the problem of figurative language detection on social media, with a focus on th...