Damage Assessment from Social Media Imagery Data During Disasters

Rapid access to situation-sensitive data through social media networks creates new opportunities to address a number of real-world problems. Damage assessment during disasters is a core situational awareness task for many humanitarian organizations that traditionally takes weeks and months. In this...

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Vydáno v:	2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) s. 569 - 576
Hlavní autoři:	Nguyen, Dat T., Ofli, Ferda, Imran, Muhammad, Mitra, Prasenjit
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	New York, NY, USA ACM 31.07.2017
Edice:	ACM Conferences
Témata:	Computing methodologies Computing methodologies > Artificial intelligence Computing methodologies > Artificial intelligence > Natural language processing Computing methodologies > Artificial intelligence > Natural language processing > Information extraction Computing methodologies > Machine learning Computing methodologies > Machine learning > Machine learning approaches Computing methodologies > Machine learning > Machine learning approaches > Neural networks Human-centered computing Human-centered computing > Collaborative and social computing Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools Human-centered computing > Collaborative and social computing > Collaborative and social computing systems and tools > Social networking sites Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms Human-centered computing > Collaborative and social computing > Collaborative and social computing theory, concepts and paradigms > Social media Information systems Information systems > Information retrieval Information systems > Information retrieval > Retrieval tasks and goals Information systems > Information retrieval > Retrieval tasks and goals > Sentiment analysis Information systems > Information systems applications
ISBN:	1450349935, 9781450349932
ISSN:	2473-991X
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