Sarcasm often relates to people’s implicit discontent with certain products and policies. Existing research mainly focus on sarcasm detection, while the deep causal relationships in full conversation remained unexplored. This paper formulates a novel question of cause proposes an attention based model that simultaneously captures different semantic associations as well inner logics multi-view m...

This paper addresses the evolution and evaluation of sarcasm in textual form. The growing popularity social networking sites is well known, every individual generates a whole new set opinions form blogs, microposts, etc. Sentiment analysis one fastest evolving aspects artificial intelligence categorizing under positive, negative, or neutral sentiments. One such part sentiment sarcasm. Sarcasm b...

Sarcasm is a statement that conveys an opposing viewpoint via positive or exaggeratedly phrases. Due to this intentional ambiguity, sarcasm identification has become one of the important factors in sentiment analysis make many researchers natural language processing intensively study detection. This research using multiple channels embedding attention bidirectional long-short memory (MCEA-BLSTM...

Sarcasm typically uses particular phrases in a figurative sense, and occasionally contains insults or reproaches, which makes it unpleasant to hear. However, certain context, sarcasm is also used make remarks, criticism, advice towards an individual group of people, related issue. This study analyses the use NgekTsaiArmy Official YouTube videos, channel managed by NgekTsai who famous social med...