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
allegany
Articles
1
From
2026-08-05 05:00:00+00
To
2026-08-05 05:00:00+00
Range
2026-07-06 11:35:31.834649+00 →
2026-08-05 11:35:31.834649+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 12m | MONEY | 1 | 📊 🔍 🧲 |
| a | PERSON | 1 | 📊 🔍 🧲 |
| a2dd | ORG | 1 | 📊 🔍 🧲 |
| a6c764e | PRODUCT | 1 | 📊 🔍 🧲 |
| ac | PERSON | 1 | 📊 🔍 🧲 |
| ac36kam kam252d | PERSON | 1 | 📊 🔍 🧲 |
| allegany | GPE | 1 | 📊 🔍 🧲 |
| allison schrager | PERSON | 1 | 📊 🔍 🧲 |
| batavia | GPE | 1 | 📊 🔍 🧲 |
| batavia three | ORG | 1 | 📊 🔍 🧲 |
| bloomberg opinion tns | ORG | 1 | 📊 🔍 🧲 |
| brooklyn | GPE | 1 | 📊 🔍 🧲 |
| business directory special sections latest eedition | ORG | 1 | 📊 🔍 🧲 |
| c6bf | ORG | 1 | 📊 🔍 🧲 |
| chevrolet | ORG | 1 | 📊 🔍 🧲 |
| d96 d 2fe9c 7 p | LAW | 1 | 📊 🔍 🧲 |
| da6i | PERCENT | 1 | 📊 🔍 🧲 |
| dec6d | PRODUCT | 1 | 📊 🔍 🧲 |
| dec6d e92e d | ORG | 1 | 📊 🔍 🧲 |
| denny | GPE | 1 | 📊 🔍 🧲 |
| e2i c6g6f6 | PERSON | 1 | 📊 🔍 🧲 |
| e65 | ORG | 1 | 📊 🔍 🧲 |
| e92e | PRODUCT | 1 | 📊 🔍 🧲 |
| e92e bt 5 | PRODUCT | 1 | 📊 🔍 🧲 |
| e92e h96 | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-05 05:00:00+00 | Business |
|
Schrager: New York will regret going into the grocery business | Analyze | Allison Schrager Bloomberg Opinion (TNS) | 🙂 positive | 0.4259 |