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
nwla apex accelerator
Articles
2
From
2026-09-10 18:26:21+00
To
2026-09-10 18:26:21+00
Range
2026-08-11 23:25:08.103151+00 →
2026-09-10 23:25:08.103151+00
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 0.9200 | 📊 🧲 |
| Entertainment | 0.8800 | 📊 🧲 |
| Government | 0.0200 | 📊 🧲 |
| Business, Companies | 0.0200 | 📊 🧲 |
| Friends and Family | 0.0200 | 📊 🧲 |
| Health | 0.0200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.0200 | 📊 🧲 |
| Food and Beverage | 0.0200 | 📊 🧲 |
| Other | 0.0400 | — |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-10 18:26:21+00 | Business |
|
Small Business A.I. Training sessions were hosted by NWLA APEX Accelerator | Analyze | @kbtxnews | ☹️ negative | -0.25 |
| 2026-09-10 18:26:21+00 | Business |
|
Small Business A.I. Training sessions were hosted by NWLA APEX Accelerator | Analyze | @wectnews | ☹️ negative | -0.25 |