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
utc
Articles
9
From
2026-06-14 12:00:00+00
To
2026-06-14 21:54:15+00
Range
2026-06-14 05:37:30.958376+00 →
2026-06-15 05:37:30.958376+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| utc | ORG | 9 | 📊 🔍 🧲 |
| nfl | ORG | 4 | 📊 🔍 🧲 |
| dallas | GPE | 3 | 📊 🔍 🧲 |
| philadelphia | GPE | 3 | 📊 🔍 🧲 |
| rbi | ORG | 3 | 📊 🔍 🧲 |
| san francisco | GPE | 3 | 📊 🔍 🧲 |
| u.s. | GPE | 3 | 📊 🔍 🧲 |
| arizona | GPE | 2 | 📊 🔍 🧲 |
| cup | EVENT | 2 | 📊 🔍 🧲 |
| first | ORDINAL | 2 | 📊 🔍 🧲 |
| new england | LOC | 2 | 📊 🔍 🧲 |
| pittsburgh | GPE | 2 | 📊 🔍 🧲 |
| 100 million | MONEY | 1 | 📊 🔍 🧲 |
| 102 million | MONEY | 1 | 📊 🔍 🧲 |
| 108 million | MONEY | 1 | 📊 🔍 🧲 |
| 125 million | MONEY | 1 | 📊 🔍 🧲 |
| 15 million | MONEY | 1 | 📊 🔍 🧲 |
| 72 | DATE | 1 | 📊 🔍 🧲 |
| 8 | CARDINAL | 1 | 📊 🔍 🧲 |
| 83 million | MONEY | 1 | 📊 🔍 🧲 |
| acl | ORG | 1 | 📊 🔍 🧲 |
| alijah veratucker | PERSON | 1 | 📊 🔍 🧲 |
| allen | GPE | 1 | 📊 🔍 🧲 |
| alyssa thomas | PERSON | 1 | 📊 🔍 🧲 |
| american family field | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.5200 | 📊 🧲 |
| Environment, Climate | 1.9800 | 📊 🧲 |
| Government | 1.5700 | 📊 🧲 |
| Friends and Family | 0.5300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.4700 | 📊 🧲 |
| Entertainment | 0.3700 | 📊 🧲 |
| Technology | 0.3500 | 📊 🧲 |
| Food and Beverage | 0.1100 | 📊 🧲 |
| Other | 0.0700 | — |
Articles included
Top entities
Top sources
Top narrative frames