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Sarcasm Detection Approaches for English Language

  • Pragya KatyayanEmail author
  • Nisheeth Joshi
Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 374)

Abstract

Human emotions have always been a mystery. It is tough to infer what a person wants to convey by just reading a sentence written by her. Sentiment analysis (opinion mining) has tried to use the accuracy of a computer and natural language processing (NLP) to make computers detect human emotions in various types of text available online. With the changing trends and times, humans have learnt new ways of expressing their feelings. Sarcasm is the most popular of them. People these days, say words and sentences that are not literally meant by the speaker or there is some hidden meaning to it that is supposed to be understood by the listener. Several efforts have been done by the researchers to make machines capable of understanding such sentences too. This chapter aims to be an introduction to the world of sarcasm and the methods of detecting it. It gives the reader a complete sense of the role of sarcasm in the field of sentiment analysis and how machines can be made capable of understanding sarcasm.

Keywords

Sarcasm Satire Sentiment analysis Opinion mining Sarcasm algorithms Irony 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceBanasthali VidyapithVanasthaliIndia

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