Work place: Department of ITCA, MMMUT, Gorakhpur, India
E-mail: ritugkp923@gmail.com
Website:
Research Interests: Computer Networks
Biography
Ritu Singh was born in Gorakhpur, India, in 1995. She received a B. Tech. degree in Computer Science Engineering from the Institute of Technology and Management Gida, Gorakhpur, in 2018 and an M. Tech. degree in Information Technology from the Madan Mohan Malaviya University of Technology, Gorakhpur, in 2020. Her research interests include machine learning and computer networks.
By Neha Singh Umesh Chandra Jaiswal Ritu Singh
DOI: https://doi.org/10.5815/ijisa.2024.04.05, Pub. Date: 8 Aug. 2024
It's getting harder for 21st-century citizens to effectively detect sarcasm using sentiment analysis in a world full of sarcastic people and identifying sarcasm aids in understanding the unpleasant truth hidden beneath polite language. While sarcasm in text is frequently identified, very little research has been done on text sarcasm recognition in memes. This study uses a hybrid machine learning strategy to increase accuracy in identifying sarcasm text in sentiment analysis. It also compares the hybrid approach to existing approaches, like Random Forest, Logistic Regression, Naive Bayes, Stochastic Gradient Descent, and Decision Tree. The effectiveness of several methods is assessed in this study using recall, precision, and f-measure. The results showed that the suggested strategy (0.8004%) received the highest score when the prediction accuracy of several machine learning approaches was compared. The proposed hybrid approach performs much better in terms of enhancing accuracy.
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