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...

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Bibliographic Details
Main Authors: Z. Xiao, L. Wang, J. Y. Du
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8610210/