Sarcastic Detection of Twitter Comments using Python

Abstract

A sarcasm / joke is a language of expressing the feeling in an opposite manner. In case of aural or cinematographic information the sarcasm can be identified easily through the tonal stress, gestures and facial expressions. But the main challenge of sarcasm is sarcastic detection in textual information where there is an absence of expressions or tonal stress. Presently a days, the utilization of informal organizations are enormously expanded. Most of the people express their feelings in their posts and comments in sarcastic manner. Sarcasm creates inquisitiveness and courtesy towards it in sentimental analysis. Wistful Analysis is the procedure or investigation of examining the sentiments. In this project, I have chosen twitter comments for this sarcastic sentimental analysis which is commonly an opinion mining. The importance of the project is to increase the accuracy rate by feeding huge data set for training. The purpose of finding the sarcasm in social networks is to block the user who points particularly or attack any victim which is not considered as sarcasm.