Dataset Open Access
Dataset of tweets, used to detect hazardous events at the Baths of Diocletian site in Rome
RESILTECH s.r.l.
This dataset is composed by 276865 tweets, extracted from the Twitter stream, in the period from May 2018 to May 2019. Each element is characterized by the ID, that permits to retrieve the tweet from the stream, the text content, the GPS information (if it is provided or not), the localization, and the time. The last attribute of the elements of the dataset is the label associated to the tweet after the process of event detection. If the tweet has been identified as containing useful information of an hazardous event at the Baths of Diocletian site in Rome, the last attribute (Generated Useful Info at BOD) is "yes", otherwise its value is "no".
Files
(20.5 MB)
| Name | Size | |
|---|---|---|
|
TweetsDataset.xlsx
md5:da91ac70b0595c714cce28025723cc34 |
20.5 MB | Download |
424
254
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 424 | 425 |
| Downloads | 254 | 254 |
| Data volume | 5.2 GB | 5.2 GB |
| Unique views | 397 | 398 |
| Unique downloads | 138 | 138 |
Indexed in
- Publication date:
- June 27, 2019
- DOI:
-
- Keyword(s):
- Twitter, event detection
- Grants:
-
European Commission:
- STORM - Safeguarding Cultural Heritage through Technical and Organisational Resources Management (700191)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International