FLAI: An Intelligent System for Social Media Trend Prediction Using Recurrent Neural Networks with Dynamic Exogenous Variable Injection

Key Points

• The aim is to create an intelligent system for predicting trends on social media leveraging advanced neural network techniques.
• Implemented recurrent neural networks for trend prediction.
• Integrated dynamic exogenous variable injection to enhance model performance.
• Evaluated the system's predictive capabilities on trending social media content.
• Demonstrated improved accuracy in trend predictions compared to traditional models.
• Achieved effective trend forecasting with real-time data integration.