Improving the Performance of Sentiment Classification on Imbalanced Datasets With Transfer Learning
In recent years, many sentiments classification models, such as deep learning models and traditional machine learning models, claim that they can achieve state-of-the-art performance in sentiment analysis problems. Admittedly, this is based on the premise that the training samples are class balanced...
Main Authors: | Z. Xiao, L. Wang, J. Y. Du |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8610210/ |
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