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
100 billion
Articles
3
From
2026-08-20 11:41:59+00
To
2026-08-31 15:28:58+00
Range
2026-08-14 11:07:45.951469+00 →
2026-09-13 11:07:45.951469+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 100 billion | MONEY | 3 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| america | GPE | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 168 billion | MONEY | 1 | 📊 🔍 🧲 |
| 29 billion | MONEY | 1 | 📊 🔍 🧲 |
| 290 million | MONEY | 1 | 📊 🔍 🧲 |
| 331 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 billion | MONEY | 1 | 📊 🔍 🧲 |
| 6 million | MONEY | 1 | 📊 🔍 🧲 |
| 64 billion | MONEY | 1 | 📊 🔍 🧲 |
| 640 million | MONEY | 1 | 📊 🔍 🧲 |
| 730 million and 80 million | MONEY | 1 | 📊 🔍 🧲 |
| 800 million | MONEY | 1 | 📊 🔍 🧲 |
| 994 million | MONEY | 1 | 📊 🔍 🧲 |
| advanced light source lawrence | ORG | 1 | 📊 🔍 🧲 |
| aip | ORG | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| anthropic dod army | ORG | 1 | 📊 🔍 🧲 |
| apple | ORG | 1 | 📊 🔍 🧲 |
| arctic | LOC | 1 | 📊 🔍 🧲 |
| army | ORG | 1 | 📊 🔍 🧲 |
| artemis accords | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-31 15:28:58+00 | Science |
|
THE WEEK OF AUG 31, 2026 | Analyze | AIP | 😐 neutral | 0.1025 |
| 2026-08-23 15:25:00+00 | Politics |
|
Eleni Kounalakis explains why she should be California's next state treasurer | Analyze | Ashley Zavala | 😐 neutral | 0.2 |
| 2026-08-20 11:41:59+00 | Business |
|
Walmart gets $2.9 billion in tariff refunds | Analyze | Chris Isidore | 😐 neutral | 0.0798 |