Tweets related to 10 different types of disasters were monitored from 28 September 2021 till 6 October 2021. 67528 rows containing 16 fields were extracted using Artificial Intelligence and Natural Language Processing Services of Microsoft.

DOI Link: 
10.21227/p0ed-cb23
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[1] Fahim Sufi, "Analyzing Natural Disaster related Tweets with AI and NLP based Services", IEEE Dataport, 2021. [Online]. Available: http://dx.doi.org/10.21227/p0ed-cb23. Accessed: May. 18, 2022.
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doi = {10.21227/p0ed-cb23},
url = {http://dx.doi.org/10.21227/p0ed-cb23},
author = {Fahim Sufi },
publisher = {IEEE Dataport},
title = {Analyzing Natural Disaster related Tweets with AI and NLP based Services},
year = {2021} }
TY - DATA
T1 - Analyzing Natural Disaster related Tweets with AI and NLP based Services
AU - Fahim Sufi
PY - 2021
PB - IEEE Dataport
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Fahim Sufi. (2021). Analyzing Natural Disaster related Tweets with AI and NLP based Services. IEEE Dataport. http://dx.doi.org/10.21227/p0ed-cb23
Fahim Sufi, 2021. Analyzing Natural Disaster related Tweets with AI and NLP based Services. Available at: http://dx.doi.org/10.21227/p0ed-cb23.
Fahim Sufi. (2021). "Analyzing Natural Disaster related Tweets with AI and NLP based Services." Web.
1. Fahim Sufi. Analyzing Natural Disaster related Tweets with AI and NLP based Services [Internet]. IEEE Dataport; 2021. Available from : http://dx.doi.org/10.21227/p0ed-cb23
Fahim Sufi. "Analyzing Natural Disaster related Tweets with AI and NLP based Services." doi: 10.21227/p0ed-cb23