Detecting Sarcasm with Deep Convolutional Neural Networks

Overview This paper addresses a key NLP task known as sarcasm detection using a combination of model based on convolutional neural networks (CNNs). Detection of sarcasm is important in other areas such as affective computing and sentiment analysis because such expressions can flip the polarity of a sentence. Example Sarcasm can be considered as expressing a bitter gibe or taunt. Examples include statements such as "Is it time for your medication or mine?" and "I work 40 hours a week to be this poor". Challenges To understand and detect sarcasm it is important to understand the facts related to an event.