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

Human-centric Computing and Information Sciences volume 9, Article number: 27 (2019) Cite this article

The Original Article was published on 01 July 2019

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.

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  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

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Authors and Affiliations

  1. Faculty of Computing and Information Technology at Rabigh (FCITR), King Abdulaziz University, Jeddah, Saudi Arabia

    Shakeel Ahmad

  2. Institute of Computing and Information Technology, Gomal University, Dera Ismail Khan (KP), Pakistan

    Muhammad Zubair Asghar

  3. Department of Information Systems, Faculty of Computing and Information Technology (FCIT), King Abdulaziz University, Jeddah, Saudi Arabia

    Fahad M. Alotaibi

  4. Department of Computing, University of Bradford, Bradford, UK

    Irfanullah Awan

Authors
  1. Shakeel Ahmad
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  2. Muhammad Zubair Asghar
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  3. Fahad M. Alotaibi
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  4. Irfanullah Awan
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Corresponding author

Correspondence to Shakeel Ahmad.

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Ahmad, S., Asghar, M.Z., Alotaibi, F.M. et al. Correction to: Detection and classification of social media-based extremist affiliations using sentiment analysis techniques. Hum. Cent. Comput. Inf. Sci. 9, 27 (2019). https://doi.org/10.1186/s13673-019-0189-2

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  • DOI: https://doi.org/10.1186/s13673-019-0189-2