ISSS608 2017-18 T1 Assign WANG YUCHEN Data Processing
Revision as of 22:37, 15 October 2017 by Yuchen.wang.2016 (talk | contribs)
Smartpolis Epidemic Outbreak
| Visual Detective
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To be a Visual Detective
Geospatial and Text Data - Detecting an Epidemic Spread
Datasets
The given datasets involved map, weather and population information of smartpolis, while the main dataset for our analysis is the microblog dataset, which contains geospatial and text data gathered from tweets.
Through mapping the tweets information with geospatial data in the map, we can figure out the symptom of the epidemic. The weather information also helps us detect the infection of the epidemic, whether it is airborne, waterborne, person-to-person, or something else?
Process of study
- Text explorer of the tweets by date to figure out symptoms and details which characterize the outbreaks
- Filter out unrelated tweets and map the informative tweets with geospatial data to trail the spread of epdemic
- Drill down the trends of the texts through visualization tools to solve the illnesses
