Add to ORKGWe research the use of sarcasm on Twitter, and show that a computer has more difficulty to detect sarcasm shared among peers than sarcasm shared with any interested audience. This data set features the data used for training machine learning classifiers, and annotations of the output
Sentimental analysis aims at inferring how people express their opinion over any piece of text or to...
Nowadays, sarcasm recognition and detection simplified with various domains knowledge, among others,...
The purpose of this study is to utilize machine learning techniques to recognize sarcasm in social m...
We research the use of sarcasm on Twitter, and show that a computer has more difficulty to detect sa...
Verbal irony, or sarcasm, presents a significant technical and conceptual challenge when it comes to...
The basic idea behind machine learning-based systems, or artificial intelligence in general, is mimi...
Sarcasm can radically alter or invert a phrase's meaning. Sarcasm detection can therefore help impro...
abstract: Sarcasm is a nuanced form of language where usually, the speaker explicitly states the opp...
This thesis looks at different methods that have been used for irony and sarcasm detection and also ...
Sarcasm is a complex multimodal phenomenon that can be difficult to detect even in face-to-face comm...
In the past decade, social media like Twitter have become popular and a part of everyday life for ma...
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual p...
To avoid a sarcastic message being understood in its unintended literal meaning, in microtexts such ...
As the use of automated social media analysis tools surges, concerns over accuracy of analytics have...
Social media has become a common avenue for transmission of information. There has been a rising tre...
Sentimental analysis aims at inferring how people express their opinion over any piece of text or to...
Nowadays, sarcasm recognition and detection simplified with various domains knowledge, among others,...
The purpose of this study is to utilize machine learning techniques to recognize sarcasm in social m...
We research the use of sarcasm on Twitter, and show that a computer has more difficulty to detect sa...
Verbal irony, or sarcasm, presents a significant technical and conceptual challenge when it comes to...
The basic idea behind machine learning-based systems, or artificial intelligence in general, is mimi...
Sarcasm can radically alter or invert a phrase's meaning. Sarcasm detection can therefore help impro...
abstract: Sarcasm is a nuanced form of language where usually, the speaker explicitly states the opp...
This thesis looks at different methods that have been used for irony and sarcasm detection and also ...
Sarcasm is a complex multimodal phenomenon that can be difficult to detect even in face-to-face comm...
In the past decade, social media like Twitter have become popular and a part of everyday life for ma...
Sarcasm requires some shared knowledge between speaker and audience; it is a profoundly contextual p...
To avoid a sarcastic message being understood in its unintended literal meaning, in microtexts such ...
As the use of automated social media analysis tools surges, concerns over accuracy of analytics have...
Social media has become a common avenue for transmission of information. There has been a rising tre...
Sentimental analysis aims at inferring how people express their opinion over any piece of text or to...
Nowadays, sarcasm recognition and detection simplified with various domains knowledge, among others,...
The purpose of this study is to utilize machine learning techniques to recognize sarcasm in social m...