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Sarcasm Detection Approaches for English Language

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Smart Techniques for a Smarter Planet

Part of the book series: Studies in Fuzziness and Soft Computing ((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.

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Notes

  1. 1.

    https://www.merriam-webster.com/dictionary/sentiment.

  2. 2.

    https://thesarcasmdetector.com.

  3. 3.

    Topic words: The words that can be classified to any particular topic are called topic words.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Banasthali Vidyapith, P. O. Banasthali Vidyapith, Vanasthali, Rajasthan, India

    Pragya Katyayan & Nisheeth Joshi

Authors
  1. Pragya Katyayan
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  2. Nisheeth Joshi
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Corresponding author

Correspondence to Pragya Katyayan .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Manoj Kumar Mishra

  2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Bhabani Shankar Prasad Mishra

  3. Department of Computer Science and Engineering, IIT Patna, Patna, Bihar, India

    Yashwant Singh Patel

  4. Department of Computer Science and Engineering, IIT Patna, Patna, Bihar, India

    Rajiv Misra

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Katyayan, P., Joshi, N. (2019). Sarcasm Detection Approaches for English Language. In: Mishra, M., Mishra, B., Patel, Y., Misra, R. (eds) Smart Techniques for a Smarter Planet. Studies in Fuzziness and Soft Computing, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-03131-2_9

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