Social Network Sentiment Analysis Using Hybrid Deep Learning Models

Resumen

The system presented in this study was aimed at business, organisation, government, and consumer areas, whereas a real-time application is needed for the classification of social network messages written in Spanish through sentiment semantics metadata. Our model improved the performance of other existing machine learning techniques by up to 20 percentage points. These high levels of accuracy are crucial for obtaining real-time ratings from thousands of people for the effective monitoring of social media discourse in decision-making and strategy implementations.