1 research outputs found
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria
People increasingly use microblogging platforms such as Twitter during
natural disasters and emergencies. Research studies have revealed the
usefulness of the data available on Twitter for several disaster response
tasks. However, making sense of social media data is a challenging task due to
several reasons such as limitations of available tools to analyze high-volume
and high-velocity data streams. This work presents an extensive
multidimensional analysis of textual and multimedia content from millions of
tweets shared on Twitter during the three disaster events. Specifically, we
employ various Artificial Intelligence techniques from Natural Language
Processing and Computer Vision fields, which exploit different machine learning
algorithms to process the data generated during the disaster events. Our study
reveals the distributions of various types of useful information that can
inform crisis managers and responders as well as facilitate the development of
future automated systems for disaster management.Comment: Accepted at ISCRAM 2018 conferenc