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
thirty minutes
Articles
2
From
2026-01-15 03:18:54+00
To
2026-02-02 01:49:10+00
Range
2026-01-12 23:37:00.194339+00 →
2026-02-11 23:37:00.194339+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| democrats | NORP | 2 | 📊 🔍 🧲 |
| thirty minutes | TIME | 2 | 📊 🔍 🧲 |
| 15month | MONEY | 1 | 📊 🔍 🧲 |
| 500 million | MONEY | 1 | 📊 🔍 🧲 |
| a week ago | DATE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| asylum hill | PERSON | 1 | 📊 🔍 🧲 |
| australia | GPE | 1 | 📊 🔍 🧲 |
| bbc | ORG | 1 | 📊 🔍 🧲 |
| bbc sounds | ORG | 1 | 📊 🔍 🧲 |
| blodgett | PERSON | 1 | 📊 🔍 🧲 |
| canada | GPE | 1 | 📊 🔍 🧲 |
| candelora | PERSON | 1 | 📊 🔍 🧲 |
| capitol | ORG | 1 | 📊 🔍 🧲 |
| capitol bureau | ORG | 1 | 📊 🔍 🧲 |
| connecticut | GPE | 1 | 📊 🔍 🧲 |
| constitution | LAW | 1 | 📊 🔍 🧲 |
| ct mirror | ORG | 1 | 📊 🔍 🧲 |
| ct mirrors | ORG | 1 | 📊 🔍 🧲 |
| ct mirrors | ORG | 1 | 📊 🔍 🧲 |
| dankosky | PERSON | 1 | 📊 🔍 🧲 |
| dc | GPE | 1 | 📊 🔍 🧲 |
| dcf | ORG | 1 | 📊 🔍 🧲 |
| democrat | NORP | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-02 01:49:10+00 | Health |
|
Not a fan of the gym? Why you should try VILPA | Analyze | bbc.com | 🙂 positive | 0.1204 |
| 2026-01-15 03:18:54+00 | Politics |
|
‘In the Room’ with Ritter and Candelora, it’s political, not personal | Analyze | Mark Pazniokas | 🙂 positive | 0.1064 |