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  Published Paper Details:

  Paper Title

RESEARCHERS EYE-VIEW OF SARCASM DETECTION IN SOCIAL MEDIA TEXTUAL CONTENT

  Authors

  Swapnil S. Mane,  Vaibhav K. Khatavkar

  Keywords

Sarcasm, detection approaches, feature selection

  Abstract


The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing and recognizing sarcasm. Sarcasm detection is difficult even for users, and this will depend on many things such as perspective, context, special symbols. So, that will be a challenging task for machines to differentiate sarcastic sentences from non-sarcastic sentences. There are no exact rules based on which model will accurately detect sarcasm from many text corpus in the current situation. So, one needs to focus on optimistic and forthcoming approaches in the sarcasm detection domain. This paper discusses various sarcasm detection techniques and concludes with some approaches, related datasets with optimal features, and the researcher's challenges.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTE020026

  Paper ID - 211128

  Page Number(s) - 150-157

  Pubished in - Volume 9 | Issue 8 | August 2021

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.31277

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Swapnil S. Mane,  Vaibhav K. Khatavkar,   "RESEARCHERS EYE-VIEW OF SARCASM DETECTION IN SOCIAL MEDIA TEXTUAL CONTENT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 8, pp.150-157, August 2021, Available at :http://www.ijcrt.org/papers/IJCRTE020026.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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