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  Published Paper Details:

  Paper Title

RESEARCH PAPER ON SARCASM DETECTION

  Authors

  Srushti Chandak,  Ganesh Mehta,  Sakshi Kad,  Prof. Rishikesh Sutar

  Keywords

Natural language processing,Sarcasm Detection,Sentiment analysis.

  Abstract


One of the concise fields of Natural language processing is Sarcasm Detection which is used to analyse the given text whether the text contains sarcasm or not. It is an important step in text analysis because if sarcasm is present it creates an ambiguity in the actual meaning of the sentence. Hence finding out whether the text is sarcastic is an important step. Even it is not possible for human brains to find whether sarcasm is present or not in some situations which adds more importance to Sarcasm detection. By analyzing sentiment, businesses and organizations can better understand customer opinions, identify areas for improvement, and make data-driven decisions. However, the accuracy of sentiment analysis can be affected by various factors, such as language complexity,sarcasm.The authors of the paper are final-year students from the Electronics and Telecommunication division of Pune Institute of Information Technology, who are undertaking this project as part of their academic requirements.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2305086

  Paper ID - 235803

  Page Number(s) - a596-a602

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Srushti Chandak,  Ganesh Mehta,  Sakshi Kad,  Prof. Rishikesh Sutar,   "RESEARCH PAPER ON SARCASM DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.a596-a602, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305086.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
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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