Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies

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Bibliographic Details
Main Authors: Annie Singla, Rajat Agrawal, Nguyen Thi Dieu Linh
Format: Article
Language:English
Published: Polish Information Processing Society 2022-02-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_28/drp/pdf/66.pdf
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author Annie Singla
Rajat Agrawal
Nguyen Thi Dieu Linh
author_facet Annie Singla
Rajat Agrawal
Nguyen Thi Dieu Linh
author_sort Annie Singla
collection DOAJ
format Article
id doaj-art-4a89cd992ecb4272abbfce38ff24ab3c
institution DOAJ
issn 2300-5963
language English
publishDate 2022-02-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-4a89cd992ecb4272abbfce38ff24ab3c2025-08-20T03:12:42ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632022-02-012827327510.15439/2021KM66Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case StudiesAnnie SinglaRajat AgrawalNguyen Thi Dieu Linhhttps://annals-csis.org/Volume_28/drp/pdf/66.pdf
spellingShingle Annie Singla
Rajat Agrawal
Nguyen Thi Dieu Linh
Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
Annals of computer science and information systems
title Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
title_full Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
title_fullStr Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
title_full_unstemmed Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
title_short Comparing the effectiveness of Convolutional Neural Network and Long Short-Term Memory Network for Disaster Based Social Media Messages — Using Thunderstorm and Cyclone as Case Studies
title_sort comparing the effectiveness of convolutional neural network and long short term memory network for disaster based social media messages using thunderstorm and cyclone as case studies
url https://annals-csis.org/Volume_28/drp/pdf/66.pdf
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AT rajatagrawal comparingtheeffectivenessofconvolutionalneuralnetworkandlongshorttermmemorynetworkfordisasterbasedsocialmediamessagesusingthunderstormandcycloneascasestudies
AT nguyenthidieulinh comparingtheeffectivenessofconvolutionalneuralnetworkandlongshorttermmemorynetworkfordisasterbasedsocialmediamessagesusingthunderstormandcycloneascasestudies