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
japanese
Articles
11
From
Tue, Sep 8 • 11:41 AM EDT
To
Sun, Oct 4 • 6:30 AM EDT
Range
Mon, Sep 7 • 12:56 PM EDT →
Wed, Oct 7 • 12:56 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| japanese | NORP | 11 | 📊 🔍 🧲 |
| u.s. | GPE | 7 | 📊 🔍 🧲 |
| japan | GPE | 6 | 📊 🔍 🧲 |
| ai | ORG | 5 | 📊 🔍 🧲 |
| chinese | NORP | 3 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| america | GPE | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| asia | LOC | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| earth | LOC | 2 | 📊 🔍 🧲 |
| european | NORP | 2 | 📊 🔍 🧲 |
| france | GPE | 2 | 📊 🔍 🧲 |
| india | GPE | 2 | 📊 🔍 🧲 |
| indian | NORP | 2 | 📊 🔍 🧲 |
| javascript | ORG | 2 | 📊 🔍 🧲 |
| nasa | ORG | 2 | 📊 🔍 🧲 |
| san francisco | GPE | 2 | 📊 🔍 🧲 |
| south korea | GPE | 2 | 📊 🔍 🧲 |
| uk | GPE | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| aberdeen | GPE | 1 | 📊 🔍 🧲 |
| acela | GPE | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
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1 | 9.09 | 📊 📰 🧲 |
|
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1 | 9.09 | 📊 📰 🧲 |
|
|
1 | 9.09 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.2100 | 📊 🧲 |
| Environment, Climate | 2.2800 | 📊 🧲 |
| Technology | 2.0000 | 📊 🧲 |
| Government | 1.4700 | 📊 🧲 |
| Friends and Family | 0.5700 | 📊 🧲 |
| Entertainment | 0.4900 | 📊 🧲 |
| Health | 0.3700 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2500 | 📊 🧲 |
| Other | 0.3300 | — |
Articles included
Top entities
Top sources
Top narrative frames