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

  • Shakeel AhmadEmail author
  • Muhammad Zubair Asghar
  • Fahad M. Alotaibi
  • Irfanullah Awan
Open Access
Correction
  • 18 Downloads

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.

Notes

Reference

  1. 1.
    Ahmad S, Asghar MZ, Alotaibi FM, Awan I (2019) Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Hum Cent Comput Inf Sci 9:24.  https://doi.org/10.1186/s13673-019-0185-6 CrossRefGoogle Scholar

Copyright information

© The Author(s) 2019

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.

Authors and Affiliations

  • Shakeel Ahmad
    • 1
    Email author
  • Muhammad Zubair Asghar
    • 2
  • Fahad M. Alotaibi
    • 3
  • Irfanullah Awan
    • 4
  1. 1.Faculty of Computing and Information Technology at Rabigh (FCITR)King Abdul Aziz University (KAU)JeddahKingdom of Saudi Arabia
  2. 2.Institute of Computing and Information TechnologyGomal UniversityDera Ismail Khan (KP)Pakistan
  3. 3.Department of Information Systems, Faculty of Computing and Information Technology (FCIT)King Abdul Aziz University (KAU)JeddahKingdom of Saudi Arabia
  4. 4.Department of ComputingUniversity of BradfordBradfordUK

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