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
z
Articles
1
From
2026-03-22 12:00:03+00
To
2026-03-22 12:00:03+00
Range
2026-03-22 11:55:47.877098+00 →
2026-03-29 11:55:47.877098+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 1 | 📊 🔍 🧲 |
| amanda yen | PERSON | 1 | 📊 🔍 🧲 |
| arvind vasudevan | PERSON | 1 | 📊 🔍 🧲 |
| bi | ORG | 1 | 📊 🔍 🧲 |
| bi gen | PERSON | 1 | 📊 🔍 🧲 |
| blake | PERSON | 1 | 📊 🔍 🧲 |
| business insider today | ORG | 1 | 📊 🔍 🧲 |
| carl godfrey | PERSON | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| dan defrancesco | PERSON | 1 | 📊 🔍 🧲 |
| gen z | PERSON | 1 | 📊 🔍 🧲 |
| goldman sachs | ORG | 1 | 📊 🔍 🧲 |
| grace lett | PERSON | 1 | 📊 🔍 🧲 |
| hidden | ORG | 1 | 📊 🔍 🧲 |
| hollywood | GPE | 1 | 📊 🔍 🧲 |
| jamie heller | PERSON | 1 | 📊 🔍 🧲 |
| jensen huang | PERSON | 1 | 📊 🔍 🧲 |
| lisa ryan | PERSON | 1 | 📊 🔍 🧲 |
| mao summer | DATE | 1 | 📊 🔍 🧲 |
| max marchione | PERSON | 1 | 📊 🔍 🧲 |
| mckinsey | PRODUCT | 1 | 📊 🔍 🧲 |
| nvidia | ORG | 1 | 📊 🔍 🧲 |
| peptides | GPE | 1 | 📊 🔍 🧲 |
| pew research | ORG | 1 | 📊 🔍 🧲 |
| published mar 22 | DATE | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-22 12:00:03+00 | Business |
|
Gen Z really, really loves China's trains | Analyze | LinkedInEditors | 😐 neutral | 0.2054 |