Abstract
This poster focuses on a visual analysis of the tweets related to European migration crisis. It uses TweetsKB as a starting point and then formulates a search criteria for extracting tweets by enriching se- mantic entities and hashtags starting from the seed word "Refugee". It combines European migration statistics with the information obtained by the tweets and provides visual analysis from different perspectives.
| Original language | English |
|---|---|
| Pages (from-to) | 74-78 |
| Number of pages | 5 |
| Journal | CEUR Workshop Proceedings |
| Volume | 2721 |
| Publication status | Published - 1 Jan 2020 |
| Externally published | Yes |
| Event | 19th International Semantic Web Conference on Demos and Industry Tracks: From Novel Ideas to Industrial Practice, ISWC-Posters 2020 - Virtual, Online Duration: 1 Nov 2020 → 6 Nov 2020 |
Keywords
- Knowledge Graph
- Migration
- Visual Analytics.
