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
gm
Articles
2
From
2026-09-07 20:30:00+00
To
2026-09-11 16:37:30+00
Range
2026-09-06 21:06:52.37506+00 →
2026-09-13 21:06:52.37506+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| gm | ORG | 2 | 📊 🔍 🧲 |
| a236c86c | MONEY | 1 | 📊 🔍 🧲 |
| ac | PERSON | 1 | 📊 🔍 🧲 |
| ac6d6cg8 | GPE | 1 | 📊 🔍 🧲 |
| add3ej | ORG | 1 | 📊 🔍 🧲 |
| af34d64ec 464e | DATE | 1 | 📊 🔍 🧲 |
| ah6c7f 25 | DATE | 1 | 📊 🔍 🧲 |
| budget | ORG | 1 | 📊 🔍 🧲 |
| c646e j62cd | PERSON | 1 | 📊 🔍 🧲 |
| c89ed | ORG | 1 | 📊 🔍 🧲 |
| ces | ORG | 1 | 📊 🔍 🧲 |
| d4265 | PRODUCT | 1 | 📊 🔍 🧲 |
| d9 | CARDINAL | 1 | 📊 🔍 🧲 |
| d96 | ORG | 1 | 📊 🔍 🧲 |
| de2e6dkam | ORG | 1 | 📊 🔍 🧲 |
| def56e 6 | PRODUCT | 1 | 📊 🔍 🧲 |
| djde6 | PERSON | 1 | 📊 🔍 🧲 |
| dvr | ORG | 1 | 📊 🔍 🧲 |
| e9 | CARDINAL | 1 | 📊 🔍 🧲 |
| e92 | PERSON | 1 | 📊 🔍 🧲 |
| e92e | PRODUCT | 1 | 📊 🔍 🧲 |
| e92e ah6c7f | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| e92e c6ace d25kam | PRODUCT | 1 | 📊 🔍 🧲 |
| e92e fd | PERSON | 1 | 📊 🔍 🧲 |
| e96 | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-11 16:37:30+00 | Entertainment |
|
TiVo Bows AI-Powered 'Agent TiVo' Entertainment Guide | Analyze | Erik Gruenwedel | 😐 neutral | 0.1013 |
| 2026-09-07 20:30:00+00 | Politics |
|
Labor unions are growing, but where depends on state politics | Analyze | Kevin Hardy, Stateline | 🙂 positive | 0.4793 |