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
roman
Articles
1
From
2026-02-11 10:13:08+00
To
2026-02-11 10:13:08+00
Range
2026-02-10 15:25:14.730761+00 →
2026-02-11 15:25:14.730761+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| 11 billion | MONEY | 1 | 📊 🔍 🧲 |
| 2 billion | MONEY | 1 | 📊 🔍 🧲 |
| 5 million | MONEY | 1 | 📊 🔍 🧲 |
| absolute resolve | PERSON | 1 | 📊 🔍 🧲 |
| alex | PERSON | 1 | 📊 🔍 🧲 |
| alex goldenberg | PERSON | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| beijing | GPE | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| cnbc | ORG | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| dana taylor | PERSON | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| eastern ukraine | LOC | 1 | 📊 🔍 🧲 |
| et hear | PERSON | 1 | 📊 🔍 🧲 |
| excerpt | NORP | 1 | 📊 🔍 🧲 |
| featured weekly ad | PERSON | 1 | 📊 🔍 🧲 |
| fellow at rutgers university | ORG | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| google finance | ORG | 1 | 📊 🔍 🧲 |
| iran | GPE | 1 | 📊 🔍 🧲 |
| jpeg | ORG | 1 | 📊 🔍 🧲 |
| kaely monahan | PERSON | 1 | 📊 🔍 🧲 |
| kalshi | PERSON | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-11 10:13:08+00 | Politics |
|
Are prediction markets democratizing information or gamifying war? | Analyze | Dana Taylor | 🙂 positive | 0.0679 |