M. Rajan

Attention-Augmented Hybrid CNN- BiLSTM Architecture for Real-Time Sentiment Classification of Twitter Text

This study proposes a hybrid deep-learning framework that combines convolutional feature extraction with a bidirectional recurrent encoder and an attention mechanism to categories tweets as positive, neutral, or negative, and indicates that the learned representations generalize reasonably well across domains rather than over fitting to a single topic.