Optimal Stance Detection in Social Media through Hybrid Machine Learning and Deep Learning Models with Adaptive Gradient Descent Optimisation

Key Points

• Stance detection accuracy improves with hybrid machine learning and deep learning models—up to 95% accuracy achieved in tests.
• Key evidence includes results showing 95% accuracy in stance detection across varied social media posts.
• Analysis employs a hybrid approach integrating machine learning and deep learning with adaptive gradient descent optimization algorithms.
• Highlights the potential of optimized models to better understand public opinions in real-time on social media platforms.

Abstract