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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) S. 569 - 576
Hauptverfasser:	Nguyen, Dat T., Ofli, Ferda, Imran, Muhammad, Mitra, Prasenjit
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 31.07.2017
Schriftenreihe:	ACM Conferences
Schlagworte:	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
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!