Comprehensive Sarcasm Detection using Classification Models and Neural Networks

Natural Language Processing has come a long way ahead in the research field and has been widely treated by researchers as an interesting topic. NLP related models try to calculate the perfect meaning of what is explained in a conversation in order to give high accuracy. The sentiment analysis includes sarcasm detection which too in a way is very difficult to portray without any processing. People convey the exact opposite message to convey a sarcasm. In this paper we will be discussing on preprocessing the dataset and the various models like SVM, KNN, Decision Tree and Random Forest and Neural network models like CNN and LSTM and comparing their performances and determining the best approach to detect and deal with sarcasm.