Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models

Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing concepts of interest and is often challenging to obtain in real-life scenarios a...

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Bibliographic Details
Main Authors: Sarang Shaikh, Sher Muhammad Daudpota, Ali Shariq Imran, Zenun Kastrati
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/2/869