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
un
Articles
7
From
2026-04-05 23:58:05+00
To
2026-04-25 09:00:51+00
Range
2026-03-30 20:48:37.461466+00 →
2026-04-29 20:48:37.461466+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| un | ORG | 7 | 📊 🔍 🧲 |
| u.s. | GPE | 6 | 📊 🔍 🧲 |
| donald trump | PERSON | 5 | 📊 🔍 🧲 |
| republicans | NORP | 4 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| cnn | ORG | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| trump white house | ORG | 2 | 📊 🔍 🧲 |
| 500 life | ORG | 1 | 📊 🔍 🧲 |
| 500 million | MONEY | 1 | 📊 🔍 🧲 |
| 97 million | MONEY | 1 | 📊 🔍 🧲 |
| a320 | PRODUCT | 1 | 📊 🔍 🧲 |
| abuja nigeria | GPE | 1 | 📊 🔍 🧲 |
| adiala jail | FAC | 1 | 📊 🔍 🧲 |
| adizue | GPE | 1 | 📊 🔍 🧲 |
| africa | LOC | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| aip advances | ORG | 1 | 📊 🔍 🧲 |
| airbus | ORG | 1 | 📊 🔍 🧲 |
| alain berset | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 28.57 | 📊 📰 🧲 |
|
|
2 | 28.57 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.0000 | 📊 🧲 |
| Technology | 1.2200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.9900 | 📊 🧲 |
| Environment, Climate | 0.9200 | 📊 🧲 |
| Health | 0.5700 | 📊 🧲 |
| Friends and Family | 0.5100 | 📊 🧲 |
| Political Theatre | 0.4200 | 📊 🧲 |
| Business, Companies | 0.2400 | 📊 🧲 |
| Other | 0.1200 | — |
Articles included
Top entities
Top sources
Top narrative frames