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
25 million
Articles
3
From
2026-05-04 22:12:00+00
To
2026-05-06 10:27:00+00
Range
2026-05-04 18:24:58.402903+00 →
2026-05-11 18:24:58.402903+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 25 million | MONEY | 3 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| GPE | 1 | 📊 🔍 🧲 | |
| 011 | MONEY | 1 | 📊 🔍 🧲 |
| 025 to 028 | MONEY | 1 | 📊 🔍 🧲 |
| 040 | MONEY | 1 | 📊 🔍 🧲 |
| 103 to | MONEY | 1 | 📊 🔍 🧲 |
| 12 billion | MONEY | 1 | 📊 🔍 🧲 |
| 13 million | MONEY | 1 | 📊 🔍 🧲 |
| 1371 million | MONEY | 1 | 📊 🔍 🧲 |
| 14 million | MONEY | 1 | 📊 🔍 🧲 |
| 14 million | MONEY | 1 | 📊 🔍 🧲 |
| 15 million | MONEY | 1 | 📊 🔍 🧲 |
| 159 million | MONEY | 1 | 📊 🔍 🧲 |
| 15 million | MONEY | 1 | 📊 🔍 🧲 |
| 16 million | MONEY | 1 | 📊 🔍 🧲 |
| 163 million | MONEY | 1 | 📊 🔍 🧲 |
| 17 million | MONEY | 1 | 📊 🔍 🧲 |
| 204 million | MONEY | 1 | 📊 🔍 🧲 |
| 230 | MONEY | 1 | 📊 🔍 🧲 |
| 240 to 260 | MONEY | 1 | 📊 🔍 🧲 |
| 26 million | MONEY | 1 | 📊 🔍 🧲 |
| 334 | MONEY | 1 | 📊 🔍 🧲 |
| 334 million | MONEY | 1 | 📊 🔍 🧲 |
| 35 million | MONEY | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-06 10:27:00+00 | Health |
|
Elanco Animal Health Reports First Quarter 2026 Results | Analyze | Elanco Animal Health | 😐 neutral | 0.0626 |
| 2026-05-05 07:00:51+00 | Politics |
|
Ramaswamy’s personality, Trump’s revenge define Ohio, Indiana primaries | Analyze | Phillip M. Bailey | 😐 neutral | 0.0876 |
| 2026-05-04 22:12:00+00 | Entertainment |
|
UT Board of Trustees approves plan for Neyland Entertainment District and new parking project | Analyze | Elana Mutnick | 😐 neutral | 0.0801 |