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
nvidia
Articles
3
From
2026-03-22 06:20:43+00
To
2026-03-27 16:45:13+00
Range
2026-03-21 20:01:44.902103+00 →
2026-03-28 20:01:44.902103+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 3 | 📊 🔍 🧲 |
| jensen huang | PERSON | 3 | 📊 🔍 🧲 |
| nvidia | ORG | 3 | 📊 🔍 🧲 |
| meta | ORG | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| openai | GPE | 2 | 📊 🔍 🧲 |
| openclaw | PRODUCT | 2 | 📊 🔍 🧲 |
| silicon valley | LOC | 2 | 📊 🔍 🧲 |
| tiktok | ORG | 2 | 📊 🔍 🧲 |
| 100 billion | MONEY | 1 | 📊 🔍 🧲 |
| abdelkadir | GPE | 1 | 📊 🔍 🧲 |
| advertisement dugan | PERSON | 1 | 📊 🔍 🧲 |
| african | NORP | 1 | 📊 🔍 🧲 |
| ai lucas ropek employees | ORG | 1 | 📊 🔍 🧲 |
| airpods max | PRODUCT | 1 | 📊 🔍 🧲 |
| amanda silberling nothing | ORG | 1 | 📊 🔍 🧲 |
| amanda yen | PERSON | 1 | 📊 🔍 🧲 |
| americas | LOC | 1 | 📊 🔍 🧲 |
| arvind vasudevan | PERSON | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| bi | ORG | 1 | 📊 🔍 🧲 |
| bi gen | PERSON | 1 | 📊 🔍 🧲 |
| blake | PERSON | 1 | 📊 🔍 🧲 |
| business insider today | ORG | 1 | 📊 🔍 🧲 |
| ca | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-27 16:45:13+00 | Health |
|
African Content Moderators Have Worse Mental Health than Global Peers, Study Finds | Analyze | Billy Perrigo | 😐 neutral | 0.0759 |
| 2026-03-22 12:00:03+00 | Business |
|
Gen Z really, really loves China's trains | Analyze | LinkedInEditors | 😐 neutral | 0.2054 |
| 2026-03-22 06:20:43+00 | Business |
|
Are AI tokens the new signing bonus or just a cost of doing business? | Analyze | Connie Loizos | 😐 neutral | 0.1378 |