Data Annotation for NLP Models
This project focused on text data annotation to enhance the training of Natural Language Processing (NLP) models used for tasks such as sentiment analysis, entity recognition, and intent classification. The goal was to create a high-quality labeled dataset that would improve AI model accuracy and contextual understanding.