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Published in: Human-centric Computing and Information Sciences 1/2019

Open Access 01-12-2019 | Correction

Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques

Authors: Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi, Irfanullah Awan

Published in: Human-centric Computing and Information Sciences | Issue 1/2019

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Notes
The original article can be found online at https://​doi.​org/​10.​1186/​s13673-019-0185-6.

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Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Correction to: Hum Cent Comput Inf Sci (2019) 9:24 https://​doi.​org/​10.​1186/​s13673-019-0185-6

In the original publication of this article [1], the Acknowledgements and Funding section in Declarations need to be revised. The updated note should be:
This project was funded by the Deanship of Scientific Research (DSR) at King Abdulaziz University, Jeddah, under Grant No. G:277-830-1439. The authors, therefore, acknowledge with thanks DSR for technical and financial support.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Metadata
Title
Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
Authors
Shakeel Ahmad
Muhammad Zubair Asghar
Fahad M. Alotaibi
Irfanullah Awan
Publication date
01-12-2019
Publisher
Springer Berlin Heidelberg
Published in
Human-centric Computing and Information Sciences / Issue 1/2019
Electronic ISSN: 2192-1962
DOI
https://doi.org/10.1186/s13673-019-0189-2

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