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
london
Articles
7
From
2026-07-26 16:11:45+00
To
2026-08-02 00:18:00+00
Range
2026-07-26 10:24:00.14084+00 →
2026-08-02 10:24:00.14084+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| london | GPE | 7 | 📊 🔍 🧲 |
| uk | GPE | 4 | 📊 🔍 🧲 |
| atlanta | GPE | 2 | 📊 🔍 🧲 |
| bbc | ORG | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| guardian | ORG | 2 | 📊 🔍 🧲 |
| japan | GPE | 2 | 📊 🔍 🧲 |
| share prefer | PERSON | 2 | 📊 🔍 🧲 |
| share reuse | PERSON | 2 | 📊 🔍 🧲 |
| youtube | ORG | 2 | 📊 🔍 🧲 |
| 10bn | DATE | 1 | 📊 🔍 🧲 |
| 24bn | DATE | 1 | 📊 🔍 🧲 |
| a bar song | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| abigail morris | ORG | 1 | 📊 🔍 🧲 |
| absolutely wicked | PERSON | 1 | 📊 🔍 🧲 |
| african american | NORP | 1 | 📊 🔍 🧲 |
| after life | ORG | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alan | PERSON | 1 | 📊 🔍 🧲 |
| alan tudyk | PERSON | 1 | 📊 🔍 🧲 |
| albert hall | PERSON | 1 | 📊 🔍 🧲 |
| albums 8 staying | PERSON | 1 | 📊 🔍 🧲 |
| albums view | ORG | 1 | 📊 🔍 🧲 |
| alicia canter | PERSON | 1 | 📊 🔍 🧲 |
| alley cats netflix | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 28.57 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
|
|
1 | 14.29 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.7100 | 📊 🧲 |
| Technology | 1.2000 | 📊 🧲 |
| Government | 0.8700 | 📊 🧲 |
| Environment, Climate | 0.6700 | 📊 🧲 |
| Entertainment | 0.4300 | 📊 🧲 |
| Food and Beverage | 0.3900 | 📊 🧲 |
| Friends and Family | 0.3400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2700 | 📊 🧲 |
| Other | 0.1000 | — |
Articles included
Top entities
Top sources
Top narrative frames