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
37 billion
Articles
2
From
2026-05-23 06:06:57+00
To
2026-05-25 12:34:24+00
Range
2026-05-15 02:59:38.849026+00 →
2026-06-14 02:59:38.849026+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 37 billion | MONEY | 2 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| eps | ORG | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 20 billion | MONEY | 1 | 📊 🔍 🧲 |
| 200 billion | MONEY | 1 | 📊 🔍 🧲 |
| 3 billion | MONEY | 1 | 📊 🔍 🧲 |
| 38 billion | MONEY | 1 | 📊 🔍 🧲 |
| 49 billion | MONEY | 1 | 📊 🔍 🧲 |
| 575 | MONEY | 1 | 📊 🔍 🧲 |
| 64 billion | MONEY | 1 | 📊 🔍 🧲 |
| 75 billion | MONEY | 1 | 📊 🔍 🧲 |
| 82 billion | MONEY | 1 | 📊 🔍 🧲 |
| 91 billion | MONEY | 1 | 📊 🔍 🧲 |
| acie | ORG | 1 | 📊 🔍 🧲 |
| agentic ai | LOC | 1 | 📊 🔍 🧲 |
| alphabet | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| avgo | ORG | 1 | 📊 🔍 🧲 |
| bofa | PERSON | 1 | 📊 🔍 🧲 |
| constellation | PRODUCT | 1 | 📊 🔍 🧲 |
| cpu | ORG | 1 | 📊 🔍 🧲 |
| data center | ORG | 1 | 📊 🔍 🧲 |
| deciphering management tone managements | ORG | 1 | 📊 🔍 🧲 |
| edge computing | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-25 12:34:24+00 | Science |
|
Trump's Science Advisor Calls Nuclear EO 'Most Consequential Day' Since Atoms for Peace in 1953 | Analyze | Joel South | 😐 neutral | 0.0356 |
| 2026-05-23 06:06:57+00 | Business |
|
NVIDIA Earnings: New Segments And A $200B CPU TAM Reveal A Business Beyond Hyperscale | Analyze | Trefis Team | 😐 neutral | 0.0934 |