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