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
yougov
Articles
2
From
2026-05-07 21:04:27+00
To
2026-05-08 04:45:40+00
Range
2026-05-07 12:23:08.066809+00 →
2026-05-08 12:23:08.066809+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| democrats | NORP | 2 | 📊 🔍 🧲 |
| yougov | ORG | 2 | 📊 🔍 🧲 |
| american national election studies | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| brexit | PERSON | 1 | 📊 🔍 🧲 |
| conservative | NORP | 1 | 📊 🔍 🧲 |
| conservatives | NORP | 1 | 📊 🔍 🧲 |
| copy | PERSON | 1 | 📊 🔍 🧲 |
| councils local | ORG | 1 | 📊 🔍 🧲 |
| department of psychology phd | ORG | 1 | 📊 🔍 🧲 |
| ditto | PERSON | 1 | 📊 🔍 🧲 |
| email bluesky facebook | PERSON | 1 | 📊 🔍 🧲 |
| england | GPE | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| epa | ORG | 1 | 📊 🔍 🧲 |
| farage | ORG | 1 | 📊 🔍 🧲 |
| green | NORP | 1 | 📊 🔍 🧲 |
| green party | ORG | 1 | 📊 🔍 🧲 |
| greens | NORP | 1 | 📊 🔍 🧲 |
| güngör | PERSON | 1 | 📊 🔍 🧲 |
| haringey | PERSON | 1 | 📊 🔍 🧲 |
| labour | ORG | 1 | 📊 🔍 🧲 |
| leavers | ORG | 1 | 📊 🔍 🧲 |
| liberal democrats | NORP | 1 | 📊 🔍 🧲 |
| linkedin x | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-08 04:45:40+00 | Politics |
|
English local elections 2026: a story of a new kind of politics | Analyze | Stephen Coleman | 😐 neutral | 0.0321 |
| 2026-05-07 21:04:27+00 | Politics |
|
New study finds increase in ‘political breakups’ | Analyze | @UofCalifornia | 😐 neutral | 0.0966 |