<p>The <strong>Twitter2015-Urdu Dataset</strong> is a multimodal resource designed to advance Multimodal Named Entity Recognition (MNER) research in Urdu, a low-resource language. It adapts the widely used Twitter2015 English dataset with culturally grounded annotations tailored to Urdu's unique linguistic complexities.
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[1] Hussain Ahmad,
"Twitter2015-Urdu",
IEEE Dataport,
2025. [Online]. Available: http://dx.doi.org/10.21227/3y9j-7j09. Accessed: Mar. 22, 2025.
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doi = {10.21227/3y9j-7j09},
url = {http://dx.doi.org/10.21227/3y9j-7j09},
author = {Hussain Ahmad },
publisher = {IEEE Dataport},
title = {Twitter2015-Urdu},
year = {2025} }
doi = {10.21227/3y9j-7j09},
url = {http://dx.doi.org/10.21227/3y9j-7j09},
author = {Hussain Ahmad },
publisher = {IEEE Dataport},
title = {Twitter2015-Urdu},
year = {2025} }
TY - DATA
T1 - Twitter2015-Urdu
AU - Hussain Ahmad
PY - 2025
PB - IEEE Dataport
UR - 10.21227/3y9j-7j09
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T1 - Twitter2015-Urdu
AU - Hussain Ahmad
PY - 2025
PB - IEEE Dataport
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Hussain Ahmad.
(2025).
Twitter2015-Urdu.
IEEE Dataport.
http://dx.doi.org/10.21227/3y9j-7j09
Hussain Ahmad,
2025.
Twitter2015-Urdu.
Available at:
http://dx.doi.org/10.21227/3y9j-7j09.
Hussain Ahmad.
(2025).
"Twitter2015-Urdu."
Web.
1. Hussain Ahmad.
Twitter2015-Urdu [Internet].
IEEE Dataport; 2025.
Available from :
http://dx.doi.org/10.21227/3y9j-7j09
Hussain Ahmad.
"Twitter2015-Urdu."
doi:
10.21227/3y9j-7j09