Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classifi

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CORRECTION

Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification Muhammad Nabeel Asim1,2,4 • Muhammad Usman Ghani3,4 • Muhammad Ali Ibrahim2,4 Waqar Mahmood4 • Andreas Dengel1,2 • Sheraz Ahmed1



Ó Springer-Verlag London Ltd., part of Springer Nature 2020

Correction to: Neural Computing and Applications https://doi.org/10.1007/s00521-020-05321-8

The article [Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification], written by [Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Waqar Mahmood, Andreas Dengel and Sheraz Ahmed], was originally published electronically on the publisher’s

internet portal (currently SpringerLink) on [24 September 2020] with open access. With the author(s)’ decision to step back from Open Choice, the copyright of the article changed on [10 October 2020] to Ó [Springer-Verlag London Ltd., part of Springer Nature] [2020] and the article is forthwith distributed under the terms of copyright. Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original article can be found online at https:// doi.org/10.1007/s00521-020-05321-8. & Muhammad Nabeel Asim [email protected]

1

German Research Center for Artificial Intelligence (DFKI) GmbH, 67663 Kaiserslautern, Germany

2

Technische Universita¨t Kaiserslautern, 67663 Kaiserslautern, Germany

3

Department of Computer Science, University of Engineering and Technology (UET), Lahore, Pakistan

4

Intelligent Criminology Research Lab, National Center of Artificial Intelligence, Al-Khawarizmi Institute of Computer Science, UET, Lahore, Pakistan

Muhammad Usman Ghani [email protected] Muhammad Ali Ibrahim [email protected] Waqar Mahmood [email protected] Andreas Dengel [email protected] Sheraz Ahmed [email protected]

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