Name
Title | ||
|---|---|---|
Data mining Twitter during the UK floods: Investigating the potential use of social media in emergency management |
Abstract | ||
|---|---|---|
During a large-scale crisis, many people use social media to share information. However, emergency services are unable to use this information easily due to data quality and quantity issues. We use Twitter data generated during a recent flooding crisis to gain insights into this problem, evaluating techniques that could be used in real-time to provide actionable intelligence to emergency services. Our work also includes an exploratory analytical study of the data. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICT-DM.2016.7857213 | 2016 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) |
Keywords | Field | DocType |
Twitter,data,flooding,emergency services,data mining | Data mining,Internet privacy,Social media,Data quality,Emergency management,Flooding (psychology),Business | Conference |
ISBN | Citations | PageRank |
978-1-5090-5235-6 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Spielhofer | 1 | 2 | 1.44 |
| Reynold Greenlaw | 2 | 0 | 0.68 |
| Deborah Markham | 3 | 5 | 0.77 |
| Anna Hahne | 4 | 0 | 0.34 |