Comparative Study of Deep Learning Architectures for Financial Sentiment Analysis in Digital Market Environments
This study investigates the effectiveness of deep learning architectures for financial sentiment classification using textual data from financial reports and market statements. Four models, namely Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), Gated Recurrent Unit (GRU), and Convolutional Neural Network (C...