Sarcasm is a way of expressing feelings of people who comment or talk about something, which is completely different purpose. Sarcasm subtle type of bitterness, which can be widely use in social media. Sentiment analysis refers to communication network media of a particular community, expressed sentiments and opinion of identification and miscellany. The proposed system is a sarcasm in text like phonemic, matter-of-fact, Improper topic and nostalgic. In this paper, to detect irony text pattern based approach is proposed using twitter data. In the first approach the best accuracy is achieved by using the sentimental analysis algorithm which is equal to 70.69% and in the second approach the maximum accuracy is achieved by the voting classifier and it increases the accuracy to 85.25%
₹10000 (INR)
NON IEEE -2022