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A novel algorithm for estimation of Twitter users location using public available information Cover

A novel algorithm for estimation of Twitter users location using public available information

International Journal on Smart Sensing and Intelligent Systems
Volume 13 (2020): Issue 1 (January 2020)
By: Yasser Almadany,  Khalid Mohammed Saffer,  Ahmed K. Jameil and  Saad Albawi  
Open Access
|Jul 2020
Authors

Authors

Yasser Almadany

University of Diyala, Baquba, Iraq

Khalid Mohammed Saffer

University of Diyala, Baquba, Iraq

Ahmed K. Jameil

University of Diyala, Baquba, Iraq

Saad Albawi

saad.albawi@engineering.uodiyala.edu.iq

University of Diyala, Baquba, Iraq
DOI: https://doi.org/10.21307/ijssis-2020-012 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 10
Submitted on: Dec 10, 2019
Published on: Jul 9, 2020
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Twitter,
Social media,
KNIME,
Followers,
Time zone,
Location,
Friends
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2020 Yasser Almadany, Khalid Mohammed Saffer, Ahmed K. Jameil, Saad Albawi, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 13 (2020): Issue 1 (January 2020)
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