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What is Sarcasm Detection in News Headlines about?

This report details a deep learning mini project aimed at developing a web application for detecting sarcasm in news headlines. The project involved collecting a dataset, training a neural network model, and achieving an accuracy of 97% on training data and 81% on validation data. The findings highlight the importance of advanced models for sarcasm detection and suggest areas for future improvement, including the use of multimodal data.

Author

Mandar Pawar

Language

EN