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
copy
Articles
15
From
2026-08-11 01:01:03+00
To
2026-09-08 00:30:34+00
Range
2026-08-09 13:15:39.437882+00 →
2026-09-08 13:15:39.437882+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| copy | PERSON | 15 | 📊 🔍 🧲 |
| email bluesky facebook | PERSON | 8 | 📊 🔍 🧲 |
| linkedin x | PERSON | 8 | 📊 🔍 🧲 |
| share | PRODUCT | 8 | 📊 🔍 🧲 |
| one | CARDINAL | 7 | 📊 🔍 🧲 |
| u.s. | GPE | 6 | 📊 🔍 🧲 |
| parsely | ORG | 5 | 📊 🔍 🧲 |
| republish | PERSON | 5 | 📊 🔍 🧲 |
| author name | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| cms | ORG | 4 | 📊 🔍 🧲 |
| content management system | ORG | 4 | 📊 🔍 🧲 |
| facebook and fortworthreport | ORG | 4 | 📊 🔍 🧲 |
| fort worth | GPE | 4 | 📊 🔍 🧲 |
| fort worth report | FAC | 4 | 📊 🔍 🧲 |
| republish this story | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| the fort worth report | ORG | 4 | 📊 🔍 🧲 |
| PRODUCT | 4 | 📊 🔍 🧲 | |
| american | NORP | 3 | 📊 🔍 🧲 |
| covid19 | ORG | 3 | 📊 🔍 🧲 |
| english | NORP | 3 | 📊 🔍 🧲 |
| link | PERSON | 3 | 📊 🔍 🧲 |
| the conversation ca | PRODUCT | 3 | 📊 🔍 🧲 |
| arlington | GPE | 2 | 📊 🔍 🧲 |
| bob francis | PERSON | 2 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
8 | 53.33 | 📊 📰 🧲 |
|
|
4 | 26.67 | 📊 📰 🧲 |
|
|
2 | 13.33 | 📊 📰 🧲 |
|
|
1 | 6.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.4400 | 📊 🧲 |
| Technology | 2.7900 | 📊 🧲 |
| Government | 2.7600 | 📊 🧲 |
| Friends and Family | 2.0200 | 📊 🧲 |
| Environment, Climate | 1.2400 | 📊 🧲 |
| Civil Unrest, Conflict | 1.2300 | 📊 🧲 |
| Health | 0.7600 | 📊 🧲 |
| Food and Beverage | 0.3600 | 📊 🧲 |
| Other | 0.3800 | — |
Articles included
Top entities
Top sources
Top narrative frames