NLP Labeling and Annotation Research Practicum (Academic/IBM Collaboration)
Participated in research projects focused on Natural Language Processing, including hands-on work with part-of-speech tagging, sentiment analysis, and text evaluation tasks. Developed, implemented, and evaluated labeling methods for linguistic data as part of academic projects and coursework. Gained practical experience optimizing tokenisation and encoding strategies for transformer models. • Annotated linguistic entities in biomedical and general text datasets. • Evaluated and classified sentiment and entity recognition labels during research. • Optimized workflows for model training using labeled text data. • Participated in hands-on academic project-based annotation under supervision.