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
milan
Articles
3
From
2026-07-09 20:20:48+00
To
2026-07-20 04:13:00+00
Range
2026-06-27 21:46:34.195866+00 →
2026-07-27 21:46:34.195866+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| milan | GPE | 3 | 📊 🔍 🧲 |
| cnn | ORG | 2 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| olympics | EVENT | 2 | 📊 🔍 🧲 |
| republicans | NORP | 2 | 📊 🔍 🧲 |
| PERSON | 1 | 📊 🔍 🧲 | |
| aclu | ORG | 1 | 📊 🔍 🧲 |
| ada hegerberg | PERSON | 1 | 📊 🔍 🧲 |
| albuquerque | NORP | 1 | 📊 🔍 🧲 |
| alexander sørloth | PERSON | 1 | 📊 🔍 🧲 |
| amanda chavez | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| atlético madrid | ORG | 1 | 📊 🔍 🧲 |
| atp | ORG | 1 | 📊 🔍 🧲 |
| ballon | ORG | 1 | 📊 🔍 🧲 |
| belgian | NORP | 1 | 📊 🔍 🧲 |
| belgium | GPE | 1 | 📊 🔍 🧲 |
| birmingham | GPE | 1 | 📊 🔍 🧲 |
| bmw | ORG | 1 | 📊 🔍 🧲 |
| bmws | ORG | 1 | 📊 🔍 🧲 |
| bodøglimt s | ORG | 1 | 📊 🔍 🧲 |
| bodøglimts | ORG | 1 | 📊 🔍 🧲 |
| brad stulberg | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-07-20 04:13:00+00 | Politics |
|
Ex-politician on mission to save the printed word | Analyze | Milan Simonich | 😐 neutral | 0.1113 |
| 2026-07-11 11:30:26+00 | Sports |
|
Inside the culture that makes Norway so good at sports | Analyze | Don Riddell | 😐 neutral | 0.1412 |
| 2026-07-09 20:20:48+00 | Politics |
|
Republican Sen. Grassley probing FBI Director Patel’s travel and spending | Analyze | Annie Grayer | 😐 neutral | 0.1294 |