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
14 billion
Articles
2
From
2026-08-29 22:31:55+00
To
2026-09-08 03:33:10+00
Range
2026-08-12 02:19:27.453964+00 →
2026-09-11 02:19:27.453964+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 14 billion | MONEY | 2 | 📊 🔍 🧲 |
| 200 million | MONEY | 1 | 📊 🔍 🧲 |
| 256 billion | MONEY | 1 | 📊 🔍 🧲 |
| 4 billion | MONEY | 1 | 📊 🔍 🧲 |
| 4 billion to 5 billion | MONEY | 1 | 📊 🔍 🧲 |
| alliance augustana university | ORG | 1 | 📊 🔍 🧲 |
| ap | ORG | 1 | 📊 🔍 🧲 |
| ap world news | ORG | 1 | 📊 🔍 🧲 |
| associated press | ORG | 1 | 📊 🔍 🧲 |
| associated press new delhi | ORG | 1 | 📊 🔍 🧲 |
| balen shah | PERSON | 1 | 📊 🔍 🧲 |
| bank | ORG | 1 | 📊 🔍 🧲 |
| bankcard sanford | PERSON | 1 | 📊 🔍 🧲 |
| beacom | ORG | 1 | 📊 🔍 🧲 |
| bill | PERSON | 1 | 📊 🔍 🧲 |
| bill gassen | PERSON | 1 | 📊 🔍 🧲 |
| bill sanford | PERSON | 1 | 📊 🔍 🧲 |
| binaj gurubacharya | ORG | 1 | 📊 🔍 🧲 |
| brazil | GPE | 1 | 📊 🔍 🧲 |
| carnival | NORP | 1 | 📊 🔍 🧲 |
| covid19 | ORG | 1 | 📊 🔍 🧲 |
| dana dykhouse | PERSON | 1 | 📊 🔍 🧲 |
| dave knudson | PERSON | 1 | 📊 🔍 🧲 |
| deenny | PERSON | 1 | 📊 🔍 🧲 |
| denny | GPE | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-08 03:33:10+00 | Politics |
|
Nepal endured months of political upheaval. Devastating floods are now testing its new government | Analyze | SHEIKH SAALIQ — Associated Press | 😐 neutral | 0.0365 |
| 2026-08-29 22:31:55+00 | Business |
|
Family, colleagues, remember T. Denny Sanford at community memorial celebration | Analyze | Jodi Schwan | 😐 neutral | 0.2075 |