State of the art: A review of sentiment analysis based on sequential transfer learning
Recently, sequential transfer learning emerged as a modern technique for applying the ``pretrain then fine-tune'' paradigm to leverage existing knowledge to improve the performance of various downstream NLP tasks, with no exception of sentiment analysis. Previous pieces of literature mostl...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/39569/ |
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| Institution: | Universiti Malaya |