Text & Content Analysis
This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Corpus KPIs
Entity
roughly one
Articles
2
From
2026-02-06 02:01:13+00
To
2026-02-09 14:41:38+00
Range
2026-01-11 17:15:18.18296+00 →
2026-02-10 17:15:18.18296+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| democrats | NORP | 2 | 📊 🔍 🧲 |
| roughly one | CARDINAL | 2 | 📊 🔍 🧲 |
| a | NORP | 1 | 📊 🔍 🧲 |
| a decade | DATE | 1 | 📊 🔍 🧲 |
| aca | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| around four million | CARDINAL | 1 | 📊 🔍 🧲 |
| barack obama | PERSON | 1 | 📊 🔍 🧲 |
| bbc indepth | ORG | 1 | 📊 🔍 🧲 |
| board of peace | ORG | 1 | 📊 🔍 🧲 |
| brian thompson | PERSON | 1 | 📊 🔍 🧲 |
| columbus | GPE | 1 | 📊 🔍 🧲 |
| company ratings | ORG | 1 | 📊 🔍 🧲 |
| covid | PERSON | 1 | 📊 🔍 🧲 |
| coxes | ORG | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| duke universitys | ORG | 1 | 📊 🔍 🧲 |
| dxi | ORG | 1 | 📊 🔍 🧲 |
| eagle | ORG | 1 | 📊 🔍 🧲 |
| edelman data intelligence | ORG | 1 | 📊 🔍 🧲 |
| emma barnett | PERSON | 1 | 📊 🔍 🧲 |
| eva stahl | ORG | 1 | 📊 🔍 🧲 |
| fed | ORG | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-09 14:41:38+00 | Business |
|
Survey: Business Owners Shoulder Rising Costs to Protect Workers | Analyze | Survey: Business Owners Shoulder Rising Costs to Protect Workers | 🙂 positive | 0.094 |
| 2026-02-06 02:01:13+00 | Health |
|
US healthcare needs fixing, but there's no agreement on how to do it | Analyze | bbc.com | 🙂 positive | 0.1044 |