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This project combines BERT embeddings and an LSTM layer to classify tweets written in Darija (Moroccan Arabic) as positive or negative. The model leverages the SI2M-Lab/DarijaBERT for high-quality ...
Professional machine learning and deep learning Engineer with 3 years of experience In machine learning, NLP & Computer vision, I can work on projects of ML regression, Classification, Clustering, ima ...
Artificial Intelligence continues to shape various industries, with new and improved algorithms emerging each year. In 2024, ...
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 ...
Finally, a deep detection method based on Long Short-Term Memory (LSTM) networks is used to detect malicious behavior from the behavior chains. Li et al. in [12]propose a feature fusion, machine ...