Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training

Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training

Documents are stored in a digital form across several organizations. Printing this amount of data and placing it into folders instead of storing digitally is against the practical, economical, and ecological perspective. An efficient way of retrieving data from digitally stored documents is also req...

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Bibliographic Details
Main Authors: Inzamam Mashood Nasir, Muhammad Attique Khan, Mussarat Yasmin, Jamal Hussain Shah, Marcin Gabryel, Rafał Scherer, Robertas Damaševičius
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
document classification
deep learning
feature selection
data augmentation
imbalanced dataset
Online Access:https://www.mdpi.com/1424-8220/20/23/6793

Internet

https://www.mdpi.com/1424-8220/20/23/6793

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