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
japan
Articles
9
From
Wed, Sep 16 • 8:30 AM EDT
To
Mon, Sep 21 • 1:33 PM EDT
Range
Wed, Sep 16 • 6:12 AM EDT →
Wed, Sep 23 • 6:12 AM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| japan | GPE | 9 | 📊 🔍 🧲 |
| u.s. | GPE | 6 | 📊 🔍 🧲 |
| ai | ORG | 4 | 📊 🔍 🧲 |
| american | NORP | 3 | 📊 🔍 🧲 |
| christmas | DATE | 2 | 📊 🔍 🧲 |
| cnn | ORG | 2 | 📊 🔍 🧲 |
| congress | ORG | 2 | 📊 🔍 🧲 |
| dc | GPE | 2 | 📊 🔍 🧲 |
| democrat | NORP | 2 | 📊 🔍 🧲 |
| democrats | NORP | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| flock | NORP | 2 | 📊 🔍 🧲 |
| france | GPE | 2 | 📊 🔍 🧲 |
| french | NORP | 2 | 📊 🔍 🧲 |
| reuters | ORG | 2 | 📊 🔍 🧲 |
| save gift | PERSON | 2 | 📊 🔍 🧲 |
| south korea | GPE | 2 | 📊 🔍 🧲 |
| treasury | ORG | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| 108 billion | MONEY | 1 | 📊 🔍 🧲 |
| 2 billion | MONEY | 1 | 📊 🔍 🧲 |
| 34 million | MONEY | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
|
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
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1 | 11.11 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.5100 | 📊 🧲 |
| Government | 1.5800 | 📊 🧲 |
| Environment, Climate | 1.2800 | 📊 🧲 |
| Political Theatre | 0.9100 | 📊 🧲 |
| Technology | 0.8700 | 📊 🧲 |
| Health | 0.6500 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5500 | 📊 🧲 |
| Friends and Family | 0.2900 | 📊 🧲 |
| Other | 0.3200 | — |
Articles included
Top entities
Top sources
Top narrative frames