This research analyses the type of figurative language (sarcasm or mock; impoliteness is used to perform face threatening acts with use politeness strategies that are obviously insincere and thus remain surface relizations satire; desire precisely clear still an audience protest which intends be describe painful absurd situations foolish wicked persons groups as vividly possible ) in songs domi...

We pose the general task of user-factor adaptation — adapting supervised learning models to real-valued user factors inferred from a background of their language, reflecting the idea that a piece of text should be understood within the context of the user that wrote it. We introduce a continuous adaptation technique, suited for real-valued user factors that are common in social science and brin...

Irony is perceived through a complex interaction between an utterance and its context and serves many social functions such as to be sarcastic and to be humorous. The purpose of this paper is to explore what role linguistic style and contextual information play in the recognition of irony (i.e., assessing the degree of irony) and in the appreciation of ironic functions (i.e., assessing the degr...

Computational models for sarcasm detection have often relied on the content of utterances in isolation. However, speaker’s sarcastic intent is not always obvious without additional context. Focusing on social media discussions, we investigate two issues: (1) does modeling of conversation context help in sarcasm detection and (2) can we understand what part of conversation context triggered the ...

Closed head injury (CHI) is associated with communication difficulties in everyday social interactions. Previous work has reported impaired comprehension of sarcasm, using sarcastic remarks where the intended meaning is the opposite of the sincere or literal meaning. Participants with CHI in the present study were assessed using two types of sarcastic items, those with a directly opposite meani...

Automatic detection of figurative language is a challenging task in computational linguistics. Recognising both literal and figurative meaning is not trivial for a machine and in some cases it is hard even for humans. For this reason novel and accurate systems able to recognise figurative languages are necessary. We present in this paper a novel computational model capable to detect sarcasm in ...

Deliberative, argumentative discourse is an important component of opinion formation, belief revision, and knowledge discovery; it is a cornerstone of modern civil society. Argumentation is productively studied in branches ranging from theoretical artificial intelligence to political rhetoric, but empirical analysis has suffered from a lack of freely available, unscripted argumentative dialogs....

We investigated social cognition and theory of mind in patients with schizophrenia and in patients with frontotemporal dementia in order to elucidate the cognitive mechanisms involved in the breakdown of these skills in psychiatric and neurological patients. Our tasks included videotaped scenarios of social interactions depicting sincere, sarcastic and paradoxical remarks, as well as lies. We f...

This study compared the prosody of sarcastic and sincere attitudes in Mexican Spanish in terms of three sentence-level factors (i.e. fundamental frequency (F0) mean, F0 range, and speed of speech) and three word-level factors (i.e. stressed syllable duration, F0 movement, and stressed vowel intensity). For F0, the connection between utterance-final activity and attitude was also examined. Acous...

Past studies in Sarcasm Detection mostly make use of Twitter datasets collected using hashtag-based supervision but such are noisy terms labels and language. To overcome the limitations related to noise datasets, this News Headlines dataset for is from two news website. TheOnion aims at producing sarcastic versions current events we all headlines Brief Photos categories (which sarcastic). We co...