NATURAL DISASTER REPORT ON SOCIAL MEDIA CLASSIFICATION METHOD BASED ON WORD EMBEDDING AND GRAPH ATTENTION NETWORK

Natural disasters frequently occur unexpectedly and seriously threaten human safety and infrastructure. Traditional detection systems rely heavily on IoT sensors and satellite monitoring, which are often costly and less accessible in resource-limited or remote areas. In contrast, social media provi...

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Hlavní autoři:	Mohammad Reza Faisal, Irwan Budiman, Dodon Turianto Nugrahadi, Muhammad Rafi, Mera Kartika Delimayanti, Luu Duc Ngo, Moses Okechukwu Onyesolub
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universitas Pattimura 2026-04-01
Edice:	Barekeng
Témata:	GAT GGN Natural disaster Social media Text Classification Word Embedding
On-line přístup:	https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/22246
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!