  The enormous use of sarcastic text in all forms of communication in social
media will have a physiological effect on target users. Each user has a
different approach to misusing and recognising sarcasm. Sarcasm detection is
difficult even for users, and this will depend on many things such as
perspective, context, special symbols. So, that will be a challenging task for
machines to differentiate sarcastic sentences from non-sarcastic sentences.
There are no exact rules based on which model will accurately detect sarcasm
from many text corpus in the current situation. So, one needs to focus on
optimistic and forthcoming approaches in the sarcasm detection domain. This
paper discusses various sarcasm detection techniques and concludes with some
approaches, related datasets with optimal features, and the researcher's
challenges.
