Undergraduate Researcher - Depression Detection Annotation
I participated as an undergraduate researcher in a project focused on detecting depression in social media posts using NLP and deep learning techniques. This role involved annotating text data for sentiment and depression markers, followed by training and validating semantic neural network models on the annotated data. My work contributed directly to model improvement and research publication in the area of mental health detection via text analysis. • Annotated a large dataset of social media posts for emotional and depressive indicators. • Utilized SBERT-CNN model architecture for accurate semantic analysis. • Collaborated with academic supervisors to refine annotation guidelines and ensure labeling consistency. • Documented annotation process and findings for research dissemination.