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
next
Articles
7
From
2026-04-03 10:00:00+00
To
2026-04-26 10:38:51+00
Range
2026-03-29 09:23:43.202487+00 →
2026-04-28 09:23:43.202487+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| next | ORG | 7 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| google add preferred source | ORG | 2 | 📊 🔍 🧲 |
| hourly daily | ORG | 2 | 📊 🔍 🧲 |
| iran | GPE | 2 | 📊 🔍 🧲 |
| mit | ORG | 2 | 📊 🔍 🧲 |
| phd | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| two | CARDINAL | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 21 billion | MONEY | 1 | 📊 🔍 🧲 |
| 22 billion | MONEY | 1 | 📊 🔍 🧲 |
| 3 billion problem | MONEY | 1 | 📊 🔍 🧲 |
| 86 | DATE | 1 | 📊 🔍 🧲 |
| 95 billion | MONEY | 1 | 📊 🔍 🧲 |
| a good situation | PRODUCT | 1 | 📊 🔍 🧲 |
| a mathworks science fellowship | PRODUCT | 1 | 📊 🔍 🧲 |
| about 7 billion | MONEY | 1 | 📊 🔍 🧲 |
| academy | ORG | 1 | 📊 🔍 🧲 |
| adam atanas | PERSON | 1 | 📊 🔍 🧲 |
| advertisement california | PERSON | 1 | 📊 🔍 🧲 |
| advertisement wnc | PERSON | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| albert einstein | PERSON | 1 | 📊 🔍 🧲 |
| alex hiser | PERSON | 1 | 📊 🔍 🧲 |
| alyssa bahadur | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.1100 | 📊 🧲 |
| Technology | 1.4500 | 📊 🧲 |
| Government | 1.2600 | 📊 🧲 |
| Environment, Climate | 0.8100 | 📊 🧲 |
| Friends and Family | 0.5700 | 📊 🧲 |
| Entertainment | 0.5300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1300 | 📊 🧲 |
| Food and Beverage | 0.0800 | 📊 🧲 |
| Other | 0.0400 | — |
Articles included
Top entities
Top sources
Top narrative frames