Abstract
This poster introduces a new tool named Apollo which an- alyzes textual information in the geo-tagged twitter streams of trending hashtags using sliding time window. It performs sentiment analysis as well as emotion detection of the opinions of the masses about a trend- ing world wide topic such as #COVID-19, #ClimateChange, #Black- LivesMatter, etc. based on Knowledge Graphs. Apollo currently pro- vides an interactive visualization of the analysis of the trending hashtag #COVID-19.
| Original language | English |
|---|---|
| Pages (from-to) | 64-68 |
| 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 |