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
nd
Articles
2
From
Wed, Sep 16 • 9:20 PM EDT
To
Mon, Sep 21 • 9:12 PM EDT
Range
Thu, Sep 3 • 7:57 PM EDT →
Sat, Oct 3 • 7:57 PM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| nd | GPE | 2 | 📊 🔍 🧲 |
| bismarck | ORG | 1 | 📊 🔍 🧲 |
| bluesky whatsapp | PERSON | 1 | 📊 🔍 🧲 |
| email print copy | PERSON | 1 | 📊 🔍 🧲 |
| filippo carugati | GPE | 1 | 📊 🔍 🧲 |
| jamie sorenson ad | PERSON | 1 | 📊 🔍 🧲 |
| madagascar | GPE | 1 | 📊 🔍 🧲 |
| mandan | PERSON | 1 | 📊 🔍 🧲 |
| maromizaha forest | ORG | 1 | 📊 🔍 🧲 |
| morton county | GPE | 1 | 📊 🔍 🧲 |
| north dakota | LOC | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| save an | PERSON | 1 | 📊 🔍 🧲 |
| tequila ad | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Entertainment | 0.8500 | 📊 🧲 |
| Government | 0.5500 | 📊 🧲 |
| Business, Companies | 0.2500 | 📊 🧲 |
| Environment, Climate | 0.1600 | 📊 🧲 |
| Technology | 0.1200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0200 | 📊 🧲 |
| Food and Beverage | 0.0200 | 📊 🧲 |
| Friends and Family | 0.0200 | 📊 🧲 |
| Other | 0.0400 | — |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-22 01:12:00+00 | Science |
|
SCIENCE-LEMURS/ | Analyze | Filippo Carugati, Handout via REUTERS | 😐 neutral | 0.1542 |
| 2026-09-17 01:20:43+00 | Business |
|
ND Today: Business Highlight: Timeless Touch | Analyze | @KFYRTV | 😐 neutral | 0.0 |