Pesbukers' communication style frequently catches the audience's attention since they are not just restricted to jokes that hurled but also come with sarcasm, which is presented in each episode. There many arguments for and against accepting utilized sarcasm among audience. The point of study look into application context research object, Pesbukers, one Indonesia's most popular television shows...

Emotions are something that makes one realize how other people feeling but sarcasm needs to be understood by putting in some extra effort. Sarcasm, a verbal irony, is practice of using words or sentences different from their literal meaning. Researchers still making effort developing an algorithm can identify completely. Since sometimes humans also take time understand sarcasm, machine learn re...

Jean-Martin Charcot is considered the father of modern neurology and was the first neurologist to hold a professorship of international stature devoted to the study of the diseases of the nervous system. His biographers paint an image of an austere presence, reserved manner, shyness, economy of gestures and an impenetrable, impassive face. However, a wry and sarcastic side of Charcot can be dem...

In this paper, we describe the system we built for Task 11 of SemEval2015, which aims at identifying the sentiment intensity of figurative language in tweets. We use various features, including those specially concerned with the identification of irony and sarcasm. The features are evaluated through a decision tree regression model and a support vector regression model. The experiment result of...

Automatic detection of emotions like sarcasm or nastiness in online written conversation is a difficult task. It requires a system that can manage some kind of knowledge to interpret that emotional language is being used. In this work, we try to provide this knowledge to the system by considering alternative sets of features obtained according to different criteria. We test a range of different...

Sentiment Analysis has become an increasingly important research topic. This paper describes our approach to building a system for the Sentiment Analysis in Twitter task of the SemEval-2014 evaluation. The goal is to classify a phrase within a short piece of text as positive, negative or neutral. In the evaluation, classifiers trained on Twitter data are tested on data from other domains such a...

Modern social and commercial advertising systems devote a huge significance to the choice of language used in various campaigns with purpose achieve maximum effectiveness impact on target audience. The current paper aims uncover pragmalinguistic peculiarities usage attaining above-mentioned goal through sarcasm. Linguistic extra-linguistic levels analysis serve as key components for detecting s...