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
western
Articles
10
From
2026-04-10 01:07:49+00
To
2026-05-02 15:00:55+00
Range
2026-04-06 15:40:00.52493+00 →
2026-05-06 15:40:00.52493+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| western | NORP | 10 | 📊 🔍 🧲 |
| donald trump | PERSON | 9 | 📊 🔍 🧲 |
| u.s. | GPE | 8 | 📊 🔍 🧲 |
| iran | GPE | 6 | 📊 🔍 🧲 |
| american | NORP | 5 | 📊 🔍 🧲 |
| iraq | GPE | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 4 | 📊 🔍 🧲 |
| washington | GPE | 4 | 📊 🔍 🧲 |
| california | GPE | 3 | 📊 🔍 🧲 |
| china | GPE | 3 | 📊 🔍 🧲 |
| cnn | ORG | 3 | 📊 🔍 🧲 |
| democrat | NORP | 3 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 3 | 📊 🔍 🧲 |
| today | DATE | 3 | 📊 🔍 🧲 |
| americans | NORP | 2 | 📊 🔍 🧲 |
| ap | ORG | 2 | 📊 🔍 🧲 |
| arctic | LOC | 2 | 📊 🔍 🧲 |
| beijing | GPE | 2 | 📊 🔍 🧲 |
| bryn mawr college | ORG | 2 | 📊 🔍 🧲 |
| bts | ORG | 2 | 📊 🔍 🧲 |
| chevron | ORG | 2 | 📊 🔍 🧲 |
| chinese | NORP | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
3 | 30.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.4500 | 📊 🧲 |
| Environment, Climate | 2.1700 | 📊 🧲 |
| Technology | 1.0100 | 📊 🧲 |
| Political Theatre | 1.0000 | 📊 🧲 |
| Civil Unrest, Conflict | 0.9400 | 📊 🧲 |
| Business, Companies | 0.8200 | 📊 🧲 |
| Food and Beverage | 0.6300 | 📊 🧲 |
| Health | 0.5700 | 📊 🧲 |
| Other | 0.3900 | — |
Articles included
Top entities
Top sources
Top narrative frames