Text & Content Analysis
This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Explore by Category
Corpus KPIs
Entity
rwanda
Articles
1
From
2026-08-04 11:05:10+00
To
2026-08-04 11:05:10+00
Range
2026-08-03 18:20:45.152372+00 →
2026-08-04 18:20:45.152372+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 150 million | MONEY | 1 | 📊 🔍 🧲 |
| a decade | DATE | 1 | 📊 🔍 🧲 |
| a decade ago | DATE | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| andrew sekuye | PERSON | 1 | 📊 🔍 🧲 |
| claire harbage | PERSON | 1 | 📊 🔍 🧲 |
| claire harbagenpr muhanga | ORG | 1 | 📊 🔍 🧲 |
| drones | PERSON | 1 | 📊 🔍 🧲 |
| east africa | GPE | 1 | 📊 🔍 🧲 |
| ebong | PERSON | 1 | 📊 🔍 🧲 |
| enoh ebong | PERSON | 1 | 📊 🔍 🧲 |
| evariste ufitihirwe | PERSON | 1 | 📊 🔍 🧲 |
| fatma tanis | PERSON | 1 | 📊 🔍 🧲 |
| fda | ORG | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| health care | ORG | 1 | 📊 🔍 🧲 |
| hutu | PERSON | 1 | 📊 🔍 🧲 |
| ituze | ORG | 1 | 📊 🔍 🧲 |
| ituzi | ORG | 1 | 📊 🔍 🧲 |
| juliette ishimwe | PERSON | 1 | 📊 🔍 🧲 |
| kabgayi | GPE | 1 | 📊 🔍 🧲 |
| kabgayi hospital | ORG | 1 | 📊 🔍 🧲 |
| kayitana | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-04 11:05:10+00 | Health |
|
They're a world leader in using drones for healthcare. But drones can't do it all | Analyze | Fatma Tanis | 😐 neutral | 0.0835 |