The MSDA is novel method based on DarijaBERT embedding and stacked deep learning algorithms, namely: LSTM, BiLSTM, GRU, and CNN that provide state-of-the-art results on the dialect datasets in terms of accuracy.
This dataset consists of 49 860 Dialect and Arabic tweets labled as Positive and Negative tweets.
This code is compatible with python 3.x. If python 3 is not default in your system, please using python3 and pip3 commands instead of python and pip commands.