NLP models to detect the stance toward vaccination and the content type of the Arabic tweets that are related to COVID-19 vaccinations.

The project is divided into three main sections:

1- Preprocessing: contained 3 main processes, Regex replacements, Stemming, Tokenization.

2- Feature Extraction: Here we used these features Word Embeddings, TF-IDFF, Bag of Words beside hand-picked features

3- Classification: We trained different models BERT model ( aubmindlab/bert-base-arabertv02-twitter), RNN, LSTM and classical ML classifiers (Multinomial NB, LR, Linear SVM, SVM, RF, DT).

Marim Naser

Mariem Muhammed

Ammar Mohamed

Omar Ahmed