Was that Sarcasm?: A Literature Survey on Sarcasm Detection
Harleen Kaur Bagga, Jasmine Bernard, Sahil Shaheen, Sarthak Arora

TL;DR
This survey reviews the challenges, methods, and datasets related to sarcasm detection in natural language processing, highlighting the complexity of interpreting sarcasm and summarizing current research approaches.
Contribution
It provides a comprehensive overview of sarcasm detection techniques, issues faced, and datasets available, serving as a valuable resource for future research in this area.
Findings
Identifies key challenges in sarcasm detection
Summarizes various approaches used in the field
Lists datasets available for sarcasm detection
Abstract
Sarcasm is hard to interpret as human beings. Being able to interpret sarcasm is often termed as a sign of intelligence, given the complex nature of sarcasm. Hence, this is a field of Natural Language Processing which is still complex for computers to decipher. This Literature Survey delves into different aspects of sarcasm detection, to create an understanding of the underlying problems faced during detection, approaches used to solve this problem, and different forms of available datasets for sarcasm detection.
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Taxonomy
TopicsWildlife Ecology and Conservation · Human-Animal Interaction Studies · Forensic Entomology and Diptera Studies
