Recognizing the sarcastic statement on WhatsApp Group with Indonesian language text

Abstract

An expression of resentment, criticism, and mockery by using harsh words that intended to offend someone or something can be called Sarcasm statements. While detection or recognizing those sarcastic statements could be very important for sentiment analysis of data that collected from social media such as WhatsApp Group, although doing it automatically is not an easy task. For this research, we propose a method to recognize the sarcasm statements on WhatsApp Group with Indonesian language text using pattern-based approach. Our proposed method uses several sets of features to classify whether the statement consist of sarcastic or non-sarcastic statements, namely sentiment-related features, punctuation-related features, syntactic and semantic related features, and pattern-related features.