Name
Title | ||
|---|---|---|
Real-time processing of social media with SENTINEL: A syndromic surveillance system incorporating deep learning for health classification |
Abstract | ||
|---|---|---|
•End to End software system built with open source tools for real-time processing of public social media data.•Event detection and Situational Awareness of disease outbreaks.•Development of a classifier for isolating health-related tweets using deep neural networks.•Nowcasting for multiple diseases based on the syndromic surveillance data. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ipm.2018.04.011 | Information Processing & Management |
Keywords | Field | DocType |
Real-time processing,Classification,Clustering,Event detection | Data science,Data processing,Social media,Information retrieval,Computer science,Situation awareness,Software system,Artificial intelligence,Deep learning,Nowcasting | Journal |
Volume | Issue | ISSN |
56 | 3 | 0306-4573 |
Citations | PageRank | References |
5 | 0.49 | 35 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ovidiu Serban | 1 | 6 | 3.55 |
| Nicholas A. Thapen | 2 | 12 | 1.27 |
| Brendan Maginnis | 3 | 5 | 0.49 |
| Chris Hankin | 4 | 932 | 91.56 |
| Virginia E. Foot | 5 | 5 | 0.49 |