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A Review Paper on Sarcasm Detection

Conference paper
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Part of the Algorithms for Intelligent Systems book series (AIS)

Abstract

Automated identification of sarcasm refers to the job of anticipating wit within a message and is a critical advance in the field of sentiment analysis, taking into consideration, commonness as well as difficulties in the sphere of sarcasm detection in a text which bears sentiment. Starting with a proposition that utilized features based on speech, this domain has seen immense enthusiasm from the community of sentiment analysis. This paper is an assemblage of efforts that have been carried out in the past in the field of automatic sarcasm detection. It depicts the methodologies, datasets, issues, and patterns in sarcasm detection. The paper describes mutual tasks, provides recommendations to future work, and talks about representative performance values. As far as assets to comprehend the futuristic, the review shows numerous effective analogies—most conspicuously, an abridgment of papers from the past along various proportions like the datasets used, types of features, and annotation techniques with the help of a table.

Keywords

Sarcasm Opinion mining Sentiment analysis Twitter 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Indian Institute of Technology RoorkeeRoorkeeIndia

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