Moroccan Darija Sentiment Analysis
# Moroccan Darija Sentiment Analysis
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.
# Dataset
This dataset consists of 49 860 Dialect and Arabic tweets labled as Positive and Negative tweets.
# Python comparability
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.