Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance

Text Guide: Improving the Quality of Long Text Classification by a Text Selection Method Based on Feature Importance

The performance of text classification methods has improved greatly over the last decade for text instances of less than 512 tokens. This limit has been adopted by most state-of-the-research transformer models due to the high computational cost of analyzing longer text instances. To mitigate this pr...

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Bibliographic Details
Main Authors: Krzysztof Fiok, Waldemar Karwowski, Edgar Gutierrez-Franco, Mohammad Reza Davahli, Maciej Wilamowski, Tareq Ahram, Awad Al-Juaid, Jozef Zurada
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Classification
feature importance
language model
long text
method
Online Access:https://ieeexplore.ieee.org/document/9494560/

Internet

https://ieeexplore.ieee.org/document/9494560/

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