A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
Identifying Informative Messages in Disasters using Convolutional Neural Networks
2016
International Conference on Information Systems for Crisis Response and Management
Social media is a vital source of information during any major event, especially natural disasters. Data produced through social networking sites is seen as ubiquitous, rapid and accessible, and it is believed to empower average citizens to become more situationally aware during disasters and coordinate to help themselves. However, with the exponential increase in the volume of social media data, so comes the increase in data that are irrelevant to a disaster, thus, diminishing peoples' ability
dblp:conf/iscram/CarageaST16
fatcat:fbcmlz4h7jhjfl3nplpf3f3un4