Transfer learning for sentiment analysis using bert based supervised fine-tuning
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals’ emotions em-powers sentiment analysis. However, sentiment analysis becomes even more challenging due to a scarcity of standardized...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34888/1/Transfer%20learning%20for%20sentiment%20analysis%20using%20bert%20based%20supervised%20fine-tuning.pdf http://umpir.ump.edu.my/id/eprint/34888/ https://doi.org/10.3390/s22114157 https://doi.org/10.3390/s22114157 |
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