Polarity detection of sarcastic political tweets

Sarcasm is an activity of saying or writing in such a way that the textual meaning of what is said is opposite of what is meant. Generally, sarcastic sentences are used to express negative feelings. Thus in political polarity detection, it can be used to know the dissatisfaction of people against a particular party, candidate or government and hence considering this other aspects can determine the poll results. This paper presents two algorithms, one to identify a sarcastic tweet and other to perform polarity detection on political sarcastic tweets. It also includes the current approach we are using to identify the sarcastic political tweets and future aspects. It also emphasizes on using the social networking sites and mainly Twitter as a source for predicting political results.