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
treasury
Articles
12
From
Tue, Sep 8 • 2:33 AM EDT
To
Mon, Oct 5 • 12:37 PM EDT
Range
Sun, Sep 6 • 1:38 PM EDT →
Tue, Oct 6 • 1:38 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| treasury | ORG | 12 | 📊 🔍 🧲 |
| u.s. | GPE | 12 | 📊 🔍 🧲 |
| donald trump | PERSON | 11 | 📊 🔍 🧲 |
| washington | GPE | 7 | 📊 🔍 🧲 |
| ai | ORG | 5 | 📊 🔍 🧲 |
| iran | GPE | 5 | 📊 🔍 🧲 |
| democrats | NORP | 4 | 📊 🔍 🧲 |
| scott bessent | PERSON | 4 | 📊 🔍 🧲 |
| america | GPE | 3 | 📊 🔍 🧲 |
| americans | NORP | 3 | 📊 🔍 🧲 |
| congress | ORG | 3 | 📊 🔍 🧲 |
| dc | GPE | 3 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 3 | 📊 🔍 🧲 |
| japan | GPE | 3 | 📊 🔍 🧲 |
| russian | NORP | 3 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| chinese | NORP | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 16.67 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
|
|
1 | 8.33 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.8400 | 📊 🧲 |
| Civil Unrest, Conflict | 1.7800 | 📊 🧲 |
| Business, Companies | 1.7200 | 📊 🧲 |
| Environment, Climate | 1.3600 | 📊 🧲 |
| Political Theatre | 0.9800 | 📊 🧲 |
| Technology | 0.8300 | 📊 🧲 |
| Health | 0.3000 | 📊 🧲 |
| Friends and Family | 0.0700 | 📊 🧲 |
| Other | 0.0800 | — |
Articles included
Top entities
Top sources
Top narrative frames