Researchers eye-view of sarcasm detection in social media textual content

• URL: http://arxiv.org/abs/2304.08582v1
• Date: Mon, 17 Apr 2023 19:45:10 GMT
• Title: Researchers eye-view of sarcasm detection in social media textual content
• Authors: Swapnil Mane, Vaibhav Khatavkar
• Abstract summary: Enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. This paper discusses various sarcasm detection techniques and concludes with some approaches, related datasets with optimal features.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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