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
ud sinclair academy
Articles
2
From
2026-05-26 11:14:27+00
To
2026-05-27 08:13:02+00
Range
2026-05-15 08:00:04.679893+00 →
2026-06-14 08:00:04.679893+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| a decade | DATE | 2 | 📊 🔍 🧲 |
| dayton | ORG | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| ud sinclair academy | ORG | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| ap wire france politics | ORG | 1 | 📊 🔍 🧲 |
| ap wire germany politics | ORG | 1 | 📊 🔍 🧲 |
| berlin | GPE | 1 | 📊 🔍 🧲 |
| butler | GPE | 1 | 📊 🔍 🧲 |
| dayton va | GPE | 1 | 📊 🔍 🧲 |
| emmanuel macron | PERSON | 1 | 📊 🔍 🧲 |
| france | GPE | 1 | 📊 🔍 🧲 |
| french | NORP | 1 | 📊 🔍 🧲 |
| friedrich merz | PERSON | 1 | 📊 🔍 🧲 |
| germany | GPE | 1 | 📊 🔍 🧲 |
| local dayton va | PERSON | 1 | 📊 🔍 🧲 |
| local for | PERSON | 1 | 📊 🔍 🧲 |
| local news | ORG | 1 | 📊 🔍 🧲 |
| local springfield | PERSON | 1 | 📊 🔍 🧲 |
| markus schreiber ap | PERSON | 1 | 📊 🔍 🧲 |
| markus schreiber ap facebook twitter | PERSON | 1 | 📊 🔍 🧲 |
| may 27 2026 43 | DATE | 1 | 📊 🔍 🧲 |
| paris | GPE | 1 | 📊 🔍 🧲 |
| save german | NORP | 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 |
|---|---|---|---|---|---|---|---|
| 2026-05-27 08:13:02+00 | Politics |
|
Germany Politics | Analyze | Markus Schreiber - AP | 😐 neutral | 0.1667 |
| 2026-05-26 11:14:27+00 | Politics |
|
France Politics | Analyze | Tom Nicholson - Pool Reuters | 😐 neutral | 0.0911 |