Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and ...
Firstly, a robust and interpretable model was proposed, named BB-OAM, which incorporated BERT, attention method, and BiLSTM to extract features of forum ... Compared with models in previous studies ...
Deep Learning: Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) models can capture dependencies in sequential data ... Deep learning models such as Transformers, including BERT ...