Sarcasm Detection in Online Social Networks Using Machine Learning Methods

Our lives have completely changed since the Internet came into our lives. Role models for people are not only around them but all over world. Although there positive aspects of this situation, we will deal with negative in study. One these is that share their ideas on social networks without any supervision. In way, who use told offensive words by they do know real life. Sometimes directly insulting, expressed sarcastically and annoy interlocutor. study, detection sarcastic considered a classification problem. Since data type used proposed method text-based, both text mining machine learning methods together. word process was carried out using set obtained from Twitter network, which includes two public classes. The performance Random Forest algorithm an accuracy 94.9%.