Sarcasm detection is an essential task that can help identify the actual sentiment in user-generated data, such as discussion forums or tweets. a sophisticated form of linguistic expression because its surface meaning usually contradicts inner, deeper meaning. In this paper, we propose model, incorporates different features to capture sarcasm. We use pre-trained transformer and CNN context feat...

Leaders often engage in costly, self-interested behaviors when they have the power and discretion to do so. Because followers are well-positioned reduce these behaviors, I test how a specific follower communication—sarcasm expression—affects particularly costly behavior: leader overpay. In three behavioral experiments field study (Ns = 240–526), effect of sarcasm on leaders' self-pay. also mode...

Sarcasm detection in dialogues has been gaining popularity among natural language processing (NLP) researchers with the increased use of conversational threads on social media. Capturing knowledge domain discourse, context propagation during course dialogue, and situational tone speaker are some important features to train machine learning models for detecting sarcasm real time. As comedies vib...

In the past decade, sarcasm detection has been intensively conducted in a textual scenario. With popularization of video communication, analysis multi-modal scenarios received much attention recent years. Therefore, detection, which aims at detecting conversations, becomes increasingly hot both natural language processing community and community. this paper, considering that is often conveyed t...

Our work focuses on detecting sarcasm in tweets using deep learning extracted features combined with contextual handcrafted features. A feature set is from a Convolutional Neural Network (CNN) architecture before it carefully sets. These sets are created based their respective explanations. Each specifically designed for the sole task of detection. The objective to find most optimal Some good g...

The purpose of this study is to identify the different types verbal humor in movie Charlie and Chocolate Factory, classify translation techniques used translate Indonesian subtitle, assess acceptability translation. This makes use both qualitative quantitative methods. method was define, classify, describe techniques. Furthermore, translation's acceptability. data were analyzed by comparing dia...