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
asia
Articles
9
From
Thu, Sep 17 • 2:26 AM EDT
To
Tue, Sep 22 • 10:30 PM EDT
Range
Wed, Sep 16 • 10:13 PM EDT →
Wed, Sep 23 • 10:13 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| asia | LOC | 9 | 📊 🔍 🧲 |
| u.s. | GPE | 6 | 📊 🔍 🧲 |
| africa | LOC | 4 | 📊 🔍 🧲 |
| europe | LOC | 4 | 📊 🔍 🧲 |
| ai | ORG | 3 | 📊 🔍 🧲 |
| indonesia | GPE | 3 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| asian | NORP | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| european | NORP | 2 | 📊 🔍 🧲 |
| finland | GPE | 2 | 📊 🔍 🧲 |
| india | GPE | 2 | 📊 🔍 🧲 |
| japanese | NORP | 2 | 📊 🔍 🧲 |
| lebanon | GPE | 2 | 📊 🔍 🧲 |
| north america | LOC | 2 | 📊 🔍 🧲 |
| saudi arabia | GPE | 2 | 📊 🔍 🧲 |
| south america | LOC | 2 | 📊 🔍 🧲 |
| south korea | GPE | 2 | 📊 🔍 🧲 |
| thailand | GPE | 2 | 📊 🔍 🧲 |
| un | ORG | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| who | ORG | 2 | 📊 🔍 🧲 |
| 1 billion | 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 |
|---|---|---|
| Government | 2.3200 | 📊 🧲 |
| Technology | 2.2400 | 📊 🧲 |
| Environment, Climate | 1.1900 | 📊 🧲 |
| Civil Unrest, Conflict | 1.0500 | 📊 🧲 |
| Business, Companies | 0.6900 | 📊 🧲 |
| Health | 0.6400 | 📊 🧲 |
| Food and Beverage | 0.3400 | 📊 🧲 |
| Friends and Family | 0.2400 | 📊 🧲 |
| Other | 0.2700 | — |
Articles included
Top entities
Top sources
Top narrative frames