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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 3 | Month- March 2026
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Published Paper Details:
Paper Title
ATECHNICALSEMINARREPORT ON Sarcasm Detection in Text
Authors
Prof. Dr. YuvrajNika, Prof.Dr.ReenaGunjan, Prof. Dr. Dipti Patil, Anisha Kar
Keywords
Sarcasm detection, Sentiment analysis, Natural language processing (NLP), Machine learning, Deep learning
Abstract
Thisreport proposesa groundbreaking approachto enhancetheaccuracyoftheSarcasm Detection in Text, focusing mainlyonaddressingthe limitationsofdetectingobjectsinvaried text types. Accurate sarcasm detection is crucial for improving the performance of sentiment analysis systems and other natural language processing (NLP) applications, such as chatbots, social media analysis, and content moderation. This paper explores various methodologies for detecting sarcasm in text, ranging from traditional machine learning techniques to state-of-the-art deep learning models. I also examine the role of contextual and semantic features, such as user behavior, conversational history, and linguistic patterns, in enhancing sarcasm detection accuracy. My findings highlight the importance of integrating domain-specific knowledge with advanced computational approaches to address the inherent complexities of sarcasm in text effectively.
IJCRT's Publication Details
Unique Identification Number - IJCRT2412552
Paper ID - 274184
Page Number(s) - f74-f81
Pubished in - Volume 12 | Issue 12 | December 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Prof. Dr. YuvrajNika, Prof.Dr.ReenaGunjan, Prof. Dr. Dipti Patil, Anisha Kar, "ATECHNICALSEMINARREPORT ON Sarcasm Detection in Text", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.f74-f81, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412552.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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