Machine Learning-Based Sentiment Analysis in English Literature: Using Deep Learning Models to Analyze Emotional and Thematic Content in Texts
This paper proposes a hybrid deep learning approach combining Bidirectional Long Short-Term Memory (BiLSTM) networks and an attention mechanism to extract sentiment and thematic content from literary texts.The model is designed to capture complex emotional nuances and themes in literature by processing text data from both forward and backward direc