Sarcasm detection using naïve bayes SVM hybrid

Abstract

Sarcasm detection plays a vital role in Sentiment analysis and sentiment classification as the occurrence of sarcasm in an input text may drive Sentiment Analysis job in different (Wrong) classification. Our research work aims in sarcasm detection using basic ML approaches like Naïve Bayes and SVM. Understanding the importance of each model and its merits and combining them accordingly. This work majorly aims at building a hybrid model which leads to better accuracy which will help readers for better decision making.