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
sudan
Articles
2
From
2026-08-12 09:00:32+00
To
2026-09-08 06:03:26+00
Range
2026-08-09 10:36:16.586172+00 →
2026-09-08 10:36:16.586172+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| sudan | GPE | 2 | 📊 🔍 🧲 |
| add topic the | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| africa | LOC | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| asian | NORP | 1 | 📊 🔍 🧲 |
| b1 | CARDINAL | 1 | 📊 🔍 🧲 |
| belga news agency | ORG | 1 | 📊 🔍 🧲 |
| belga share austerity | PERSON | 1 | 📊 🔍 🧲 |
| belgian | NORP | 1 | 📊 🔍 🧲 |
| belgium | GPE | 1 | 📊 🔍 🧲 |
| bruxelles | GPE | 1 | 📊 🔍 🧲 |
| chia | PERSON | 1 | 📊 🔍 🧲 |
| chicago | GPE | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| christine palumbo | PERSON | 1 | 📊 🔍 🧲 |
| daryl austin usa | ORG | 1 | 📊 🔍 🧲 |
| documents | ORG | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| et hear | PERSON | 1 | 📊 🔍 🧲 |
| european | NORP | 1 | 📊 🔍 🧲 |
| featured weekly ad | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| gedaref | GPE | 1 | 📊 🔍 🧲 |
| general assembly | ORG | 1 | 📊 🔍 🧲 |
| images | GPE | 1 | 📊 🔍 🧲 |
| india | GPE | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-08 06:03:26+00 | Health |
|
"Austerity measures on humanitarian aid worsen severe health crisis in Sudan" | Analyze | Belga English | 😐 neutral | 0.0609 |
| 2026-08-12 09:00:32+00 | Health |
|
The surprising health benefits – and one drawback | Analyze | Daryl Austin | 😐 neutral | 0.165 |