Arabic Text Annotation for NLP Model Training
Participated in an annotation project focused on Arabic text to support the training of a large language model. Tasks included labeling named entities, classifying text sentiment, and categorizing content topics. Followed strict quality guidelines to ensure consistency and accuracy across a dataset of over 50,000 text entries. Utilized CVAT for annotation and collaborated with a team to review and validate outputs.