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
linkedin email
Articles
6
From
2026-09-12 23:54:06+00
To
2026-09-18 08:53:46+00
Range
2026-09-12 00:33:49.323175+00 →
2026-09-19 00:33:49.323175+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| linkedin email | PERSON | 6 | 📊 🔍 🧲 |
| cdt | PERSON | 2 | 📊 🔍 🧲 |
| 16 million | MONEY | 1 | 📊 🔍 🧲 |
| 331 million | MONEY | 1 | 📊 🔍 🧲 |
| 35 million | MONEY | 1 | 📊 🔍 🧲 |
| 5 million | MONEY | 1 | 📊 🔍 🧲 |
| 54 million | MONEY | 1 | 📊 🔍 🧲 |
| a few hours | TIME | 1 | 📊 🔍 🧲 |
| alaska airlines | ORG | 1 | 📊 🔍 🧲 |
| amendment 1 | LAW | 1 | 📊 🔍 🧲 |
| amy radil | PERSON | 1 | 📊 🔍 🧲 |
| arizona | GPE | 1 | 📊 🔍 🧲 |
| austin | GPE | 1 | 📊 🔍 🧲 |
| bangkok | GPE | 1 | 📊 🔍 🧲 |
| because you loved me | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| belltown | GPE | 1 | 📊 🔍 🧲 |
| best body of work | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| bethesda | GPE | 1 | 📊 🔍 🧲 |
| brixadi | GPE | 1 | 📊 🔍 🧲 |
| canada | GPE | 1 | 📊 🔍 🧲 |
| canadian | NORP | 1 | 📊 🔍 🧲 |
| care | ORG | 1 | 📊 🔍 🧲 |
| cctv | ORG | 1 | 📊 🔍 🧲 |
| cedarssinai extend pact | ORG | 1 | 📊 🔍 🧲 |
| cedarssinai extend pact columns labj insider great river cleanup time | ORG | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.7600 | 📊 🧲 |
| Technology | 1.2500 | 📊 🧲 |
| Business, Companies | 0.4400 | 📊 🧲 |
| Health | 0.4300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3900 | 📊 🧲 |
| Entertainment | 0.3500 | 📊 🧲 |
| Environment, Climate | 0.2400 | 📊 🧲 |
| Political Theatre | 0.0700 | 📊 🧲 |
| Other | 0.0600 | — |
Articles included
Top entities
Top sources
Top narrative frames