Was that Sarcasm?: A Literature Survey on Sarcasm Detection

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.