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
kevin hardy
Articles
2
From
Mon, Sep 7 • 4:30 PM EDT
To
Tue, Oct 6 • 4:15 AM EDT
Range
Sun, Sep 6 • 5:56 PM EDT →
Tue, Oct 6 • 5:56 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| facebook twitter | PERSON | 2 | 📊 🔍 🧲 |
| kevin hardy | PERSON | 2 | 📊 🔍 🧲 |
| missouri | GPE | 2 | 📊 🔍 🧲 |
| PERSON | 2 | 📊 🔍 🧲 | |
| a236c86c | MONEY | 1 | 📊 🔍 🧲 |
| ac | PERSON | 1 | 📊 🔍 🧲 |
| ac6d6cg8 | GPE | 1 | 📊 🔍 🧲 |
| add3ej | ORG | 1 | 📊 🔍 🧲 |
| af34d64ec 464e | DATE | 1 | 📊 🔍 🧲 |
| ah6c7f 25 | DATE | 1 | 📊 🔍 🧲 |
| alex bores | PERSON | 1 | 📊 🔍 🧲 |
| americas california | LOC | 1 | 📊 🔍 🧲 |
| brad lipton | PERSON | 1 | 📊 🔍 🧲 |
| budget | ORG | 1 | 📊 🔍 🧲 |
| c646e j62cd | PERSON | 1 | 📊 🔍 🧲 |
| c89ed | ORG | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| cftc | ORG | 1 | 📊 🔍 🧲 |
| colorado | GPE | 1 | 📊 🔍 🧲 |
| congress | ORG | 1 | 📊 🔍 🧲 |
| d4265 | PRODUCT | 1 | 📊 🔍 🧲 |
| d9 | CARDINAL | 1 | 📊 🔍 🧲 |
| d96 | ORG | 1 | 📊 🔍 🧲 |
| dani lever | 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 |
|---|---|---|---|---|---|---|---|
| 2026-10-06 08:15:00+00 | Entertainment |
|
Prediction markets spend millions to influence state, federal governments | Analyze | Kevin Hardy, Stateline.org | 😐 neutral | 0.0685 |
| 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 |