We investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis ...
Oct 22, 2024 · We investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets ...
In this study, the authors use metadata of images and videos collected from Flickr and YouTube to extract crisis sub-events. The authors investigate the ...
We investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis ...
Social networks provide the opportunity to gather and share knowledge about a situation of relevance. User- generated content is getting increasingly ...
We investigate the suitability of clustering techniques to detect sub-events. In particular two algorithms are evaluated on several data sets related to crisis ...
View Supporting Crisis Management via Detection of Sub-Events in Social Networks on the publisher's website for pricing and purchasing information. Abstract.
Social networks provide the opportunity to gather and share knowledge about a situation of relevance. User- generated content is getting increasingly ...
Authors: Pohl, D., Bouchachia, A. and Hellwagner, H. ; Journal: International Journal of Information Systems for Crisis Response and Management ; Volume: 5 ; Issue ...
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[PDF] Rumour Detection on Social Media for Crisis Management
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To this end, we propose a two-step framework for detecting rumours during crises. In the first step, we introduce an algorithm to identify noteworthy sub-events ...