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
last month
Articles
5
From
2026-08-17 22:21:39+00
To
2026-08-21 14:39:56+00
Range
2026-08-15 08:02:46.324392+00 →
2026-08-22 08:02:46.324392+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| last month | DATE | 5 | 📊 🔍 🧲 |
| democrats | NORP | 2 | 📊 🔍 🧲 |
| gop | ORG | 2 | 📊 🔍 🧲 |
| ORG | 2 | 📊 🔍 🧲 | |
| republicans | NORP | 2 | 📊 🔍 🧲 |
| senate | ORG | 2 | 📊 🔍 🧲 |
| two | CARDINAL | 2 | 📊 🔍 🧲 |
| 1 billion | MONEY | 1 | 📊 🔍 🧲 |
| 75 billion | MONEY | 1 | 📊 🔍 🧲 |
| abby set one | PERSON | 1 | 📊 🔍 🧲 |
| abdul elsayed | PERSON | 1 | 📊 🔍 🧲 |
| acute care level | ORG | 1 | 📊 🔍 🧲 |
| adam paulden | PERSON | 1 | 📊 🔍 🧲 |
| agriculture | ORG | 1 | 📊 🔍 🧲 |
| aguilera | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alejandro serrano | PERSON | 1 | 📊 🔍 🧲 |
| ali | PERSON | 1 | 📊 🔍 🧲 |
| allan kucine | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| associate professor | PERSON | 1 | 📊 🔍 🧲 |
| atg | ORG | 1 | 📊 🔍 🧲 |
| atg entertainment | ORG | 1 | 📊 🔍 🧲 |
| august 3 2026 august 3 2026 | DATE | 1 | 📊 🔍 🧲 |
| austin | GPE | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 20.00 | 📊 📰 🧲 |
|
|
1 | 20.00 | 📊 📰 🧲 |
|
|
1 | 20.00 | 📊 📰 🧲 |
|
|
1 | 20.00 | 📊 📰 🧲 |
|
|
1 | 20.00 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 1.6200 | 📊 🧲 |
| Technology | 1.0500 | 📊 🧲 |
| Business, Companies | 0.7700 | 📊 🧲 |
| Environment, Climate | 0.5400 | 📊 🧲 |
| Health | 0.3400 | 📊 🧲 |
| Entertainment | 0.2400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2400 | 📊 🧲 |
| Political Theatre | 0.1100 | 📊 🧲 |
| Other | 0.0700 | — |
Articles included
Top entities
Top sources
Top narrative frames