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
2 million
Articles
11
From
2026-05-11 13:30:51+00
To
2026-06-07 10:25:31+00
Range
2026-05-11 02:55:16.766034+00 β
2026-06-10 02:55:16.766034+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 2 million | MONEY | 11 | π π 𧲠|
| one | CARDINAL | 3 | π π 𧲠|
| senate | ORG | 3 | π π 𧲠|
| u.s. | GPE | 3 | π π 𧲠|
| ai | ORG | 2 | π π 𧲠|
| ap | ORG | 2 | π π 𧲠|
| baltimore | GPE | 2 | π π 𧲠|
| embed url Ξ΄ tagged | ORG | 2 | π π 𧲠|
| house | ORG | 2 | π π 𧲠|
| last year | DATE | 2 | π π 𧲠|
| legislature | ORG | 2 | π π 𧲠|
| GPE | 2 | π π 𧲠| |
| oakland | GPE | 2 | π π 𧲠|
| oaklanders | NORP | 2 | π π 𧲠|
| oaklandside | ORG | 2 | π π 𧲠|
| republicans | NORP | 2 | π π 𧲠|
| san francisco | GPE | 2 | π π 𧲠|
| today | DATE | 2 | π π 𧲠|
| 1 million | MONEY | 1 | π π 𧲠|
| 10 million | MONEY | 1 | π π 𧲠|
| 11 million | MONEY | 1 | π π 𧲠|
| 12 million | MONEY | 1 | π π 𧲠|
| 141 million | MONEY | 1 | π π 𧲠|
| 1645 million | MONEY | 1 | π π 𧲠|
| 213 million | MONEY | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 18.18 | π π° 𧲠|
|
|
2 | 18.18 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
|
|
1 | 9.09 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 4.5000 | π 𧲠|
| Business, Companies | 1.7900 | π 𧲠|
| Friends and Family | 1.2200 | π 𧲠|
| Environment, Climate | 1.1000 | π 𧲠|
| Technology | 0.9800 | π 𧲠|
| Civil Unrest, Conflict | 0.8500 | π 𧲠|
| Health | 0.2900 | π 𧲠|
| Entertainment | 0.1900 | π 𧲠|
| Other | 0.0500 | β |
Articles included
Top entities
Top sources
Top narrative frames