Exploring the use of pre-trained transformer-based models and semi-supervised learning to build training sets for text classification

• Main Author: Te, Gian Marco I.
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: Supervised learning (Machine learning); Natural language processing (Computer science); Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etdm_softtech/6; https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1005&context=etdm_softtech
• Institution: De La Salle University

Data annotation is the process of labeling text, images, or other types of content for machine learning tasks. With the rise in popularity of machine learning for classification tasks, large amounts of labeled data is typically desired to train effective models using different algorithms and archite...