scores were integrated into predictive frameworks based on bidirectional long short-term memory (Bi-LSTM) networks and … stagnation phases, with TextBlob demonstrating superior performance to FinBERT in specific scenarios. In addition, Bi-LSTM models …

combines features from Convolutional Neural Networks (CNNs) and Bidirectional Long Short-Term Memory (Bi-LSTM) as base learners …

the loss result is also considered. Finally, the study included six deep learning models, MLP, GRU, LSTM, Bi-LSTM, CNN …

Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Units (GRU) models. …

the loss result is also considered. Finally, the study included six deep learning models, MLP, GRU, LSTM, Bi-LSTM, CNN …

sentiment by integrating word embedding technique and bidirectional long short-term memory (Bi-LSTM). On top of that, we show …