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
ca
Articles
18
From
2026-07-07 01:15:00+00
To
2026-08-04 23:52:12+00
Range
2026-07-06 08:35:07.891314+00 →
2026-08-05 08:35:07.891314+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ca | WORK_OF_ART | 18 | 📊 🔍 🧲 |
| u.s. | GPE | 8 | 📊 🔍 🧲 |
| dallas | GPE | 6 | 📊 🔍 🧲 |
| utc | ORG | 5 | 📊 🔍 🧲 |
| california | GPE | 4 | 📊 🔍 🧲 |
| cowboys | ORG | 4 | 📊 🔍 🧲 |
| los angeles | GPE | 4 | 📊 🔍 🧲 |
| nfl | ORG | 4 | 📊 🔍 🧲 |
| oxnard | ORG | 4 | 📊 🔍 🧲 |
| tx | ORG | 4 | 📊 🔍 🧲 |
| caleb downs | PERSON | 3 | 📊 🔍 🧲 |
| ceedee lamb | PERSON | 3 | 📊 🔍 🧲 |
| christian parker | PERSON | 3 | 📊 🔍 🧲 |
| george pickens | PERSON | 3 | 📊 🔍 🧲 |
| imagn images | ORG | 3 | 📊 🔍 🧲 |
| miami | GPE | 3 | 📊 🔍 🧲 |
| new york | GPE | 3 | 📊 🔍 🧲 |
| pickens | PERSON | 3 | 📊 🔍 🧲 |
| reuters | ORG | 3 | 📊 🔍 🧲 |
| san francisco | GPE | 3 | 📊 🔍 🧲 |
| santa clara | GPE | 3 | 📊 🔍 🧲 |
| aug 78 week | DATE | 2 | 📊 🔍 🧲 |
| avp | ORG | 2 | 📊 🔍 🧲 |
| avp beach | FAC | 2 | 📊 🔍 🧲 |
| belmar | PERSON | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
14 | 77.78 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
|
|
1 | 5.56 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 7.4600 | 📊 🧲 |
| Environment, Climate | 3.3200 | 📊 🧲 |
| Government | 3.0400 | 📊 🧲 |
| Technology | 1.2900 | 📊 🧲 |
| Entertainment | 1.0600 | 📊 🧲 |
| Friends and Family | 1.0000 | 📊 🧲 |
| Civil Unrest, Conflict | 0.5800 | 📊 🧲 |
| Health | 0.1400 | 📊 🧲 |
| Other | 0.1100 | — |
Articles included
Top entities
Top sources
Top narrative frames