Abstract
The Sentiment Analysis can be considered as the data mining target of sentiment classification of the customer's reviews available in text form. Sarcasm is a kind of statement that expresses a person's downside feelings by using positive terms. Labelling sarcasm in typescript is a vital task for Natural Language processing to elude the delusion of the sarcastic statements as a verbatim statement. The finding of these types of sarcastic statements is tough for humans as well as for a machine. Sarcasm has a greater impact on efficiency of Sentiment Analysis models that are influenced by mendacious sentiments that often belong to sarcastic class. In this paper we will discuss the recent research works done in the field of sarcasm recognition, different techniques and challenges in sarcasm detection. Finest plan of action for extraction of sarcasm is Hybrid methodology of Deep learning. This study aids in acquiring the knowledge of phases of the model of sarcasm extraction.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
