CLNov 30, 2024

Was that Sarcasm?: A Literature Survey on Sarcasm Detection

arXiv:2412.00425v14 citationsh-index: 2
Originality Synthesis-oriented
AI Analysis

It provides a comprehensive overview for researchers in NLP, but is incremental as a literature survey without novel findings.

The paper surveys the field of sarcasm detection in natural language processing, addressing the complexity of interpreting sarcasm for computers by reviewing underlying problems, approaches, and datasets, but does not present new experimental results or concrete numbers.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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