Named Entity Recognition (Darija) Project
OtherTextEntity Ner Classification
Named entity recognition was performed on Darija language text to identify specific entities such as names and locations. The experience involved fine-tuning the CAMeLBERT model for optimal recognition accuracy. Data preprocessing and annotation were essential steps in training the AI for this specialized task.
• Developed custom annotation guidelines to improve consistency.
• Used Python and HuggingFace for model training and evaluation.
• Focused on improving performance for under-represented language data.
• Manually labeled diverse text samples from social media and news articles.
Named entity recognition was performed on Darija language text to identify specific entities such as names and locations. The experience involved fine-tuning the CAMeLBERT model for optimal recognition accuracy. Data preprocessing and annotation were essential steps in training the AI for this specialized task. • Developed custom annotation guidelines to improve consistency. • Used Python and HuggingFace for model training and evaluation. • Focused on improving performance for under-represented language data. • Manually labeled diverse text samples from social media and news articles.
Not specified