Exploring the use of pre-trained transformer-based models and semi-supervised learning to build training sets for text classification
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...
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Main Author: | Te, Gian Marco I. |
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Format: | text |
Language: | English |
Published: |
Animo Repository
2022
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/etdm_softtech/6 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1005&context=etdm_softtech |
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Institution: | De La Salle University |
Language: | English |
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