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
two
Articles
30
From
2026-08-04 17:48:51+00
To
2026-08-11 12:00:00+00
Range
2026-08-04 14:46:06.661548+00 →
2026-08-11 14:46:06.661548+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| two | CARDINAL | 30 | 📊 🔍 🧲 |
| one | CARDINAL | 12 | 📊 🔍 🧲 |
| nba | ORG | 8 | 📊 🔍 🧲 |
| today | DATE | 6 | 📊 🔍 🧲 |
| champions league womens college basketball womens | ORG | 5 | 📊 🔍 🧲 |
| league sailing | PERSON | 5 | 📊 🔍 🧲 |
| martial arts | ORG | 5 | 📊 🔍 🧲 |
| memorabilia collectibles mens college basketball mens olympic ice hockey | ORG | 5 | 📊 🔍 🧲 |
| mls | ORG | 5 | 📊 🔍 🧲 |
| nascar | ORG | 5 | 📊 🔍 🧲 |
| national boxing bundesliga champions league championship college football college sports copa america copa del rey cricket culture cycling europa league european championship fa cup fantasy baseball fantasy basketball fantasy football fantasy hockey fantasy | ORG | 5 | 📊 🔍 🧲 |
| nhl nwsl | ORG | 5 | 📊 🔍 🧲 |
| olympic ice hockey womens | ORG | 5 | 📊 🔍 🧲 |
| olympics opinion peak | EVENT | 5 | 📊 🔍 🧲 |
| premier league fifa club world cup fifa mens | ORG | 5 | 📊 🔍 🧲 |
| soccer womens super league world baseball | ORG | 5 | 📊 🔍 🧲 |
| u.s. | GPE | 5 | 📊 🔍 🧲 |
| world cup fifa womens | EVENT | 5 | 📊 🔍 🧲 |
| world cup formula 1 | EVENT | 5 | 📊 🔍 🧲 |
| chicago | GPE | 4 | 📊 🔍 🧲 |
| ap | ORG | 3 | 📊 🔍 🧲 |
| democrat | NORP | 3 | 📊 🔍 🧲 |
| democrats | NORP | 3 | 📊 🔍 🧲 |
| disney | ORG | 3 | 📊 🔍 🧲 |
| florida | GPE | 3 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
5 | 16.67 | 📊 📰 🧲 |
|
|
2 | 6.67 | 📊 📰 🧲 |
|
|
2 | 6.67 | 📊 📰 🧲 |
|
|
1 | 3.33 | 📊 📰 🧲 |
|
|
1 | 3.33 | 📊 📰 🧲 |
|
|
1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
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1 | 3.33 | 📊 📰 🧲 |
|
|
1 | 3.33 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 8.8300 | 📊 🧲 |
| Government | 6.7400 | 📊 🧲 |
| Environment, Climate | 3.7500 | 📊 🧲 |
| Friends and Family | 3.6400 | 📊 🧲 |
| Civil Unrest, Conflict | 2.1200 | 📊 🧲 |
| Technology | 2.0000 | 📊 🧲 |
| Food and Beverage | 0.9200 | 📊 🧲 |
| Entertainment | 0.9200 | 📊 🧲 |
| Other | 0.9500 | — |
Articles included
Top entities
Top sources
Top narrative frames