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
matt
Articles
9
From
2026-04-02 05:34:54+00
To
2026-04-30 03:16:17+00
Range
2026-03-31 04:29:02.472147+00 β
2026-04-30 04:29:02.472147+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| matt | PERSON | 9 | π π 𧲠|
| bbc | ORG | 3 | π π 𧲠|
| cbs news | ORG | 2 | π π 𧲠|
| cnn | ORG | 2 | π π 𧲠|
| donald trump | PERSON | 2 | π π 𧲠|
| english | LANGUAGE | 2 | π π 𧲠|
| fremantle | ORG | 2 | π π 𧲠|
| los angeles | GPE | 2 | π π 𧲠|
| mexico | GPE | 2 | π π 𧲠|
| new york city | GPE | 2 | π π 𧲠|
| republicans | NORP | 2 | π π 𧲠|
| sam | PERSON | 2 | π π 𧲠|
| utc | ORG | 2 | π π 𧲠|
| 1 billion | MONEY | 1 | π π 𧲠|
| 10 million | MONEY | 1 | π π 𧲠|
| 113 million | MONEY | 1 | π π 𧲠|
| 13 million | MONEY | 1 | π π 𧲠|
| 13m | MONEY | 1 | π π 𧲠|
| 172 million | MONEY | 1 | π π 𧲠|
| 180 million | MONEY | 1 | π π 𧲠|
| 20 million | MONEY | 1 | π π 𧲠|
| 87 million | MONEY | 1 | π π 𧲠|
| 97m us | MONEY | 1 | π π 𧲠|
| 987 million | MONEY | 1 | π π 𧲠|
| a24 | ORG | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
3 | 33.33 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
|
|
1 | 11.11 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.7700 | π 𧲠|
| Government | 1.8000 | π 𧲠|
| Environment, Climate | 1.0500 | π 𧲠|
| Entertainment | 0.5400 | π 𧲠|
| Health | 0.4800 | π 𧲠|
| Civil Unrest, Conflict | 0.3900 | π 𧲠|
| Technology | 0.3700 | π 𧲠|
| Friends and Family | 0.2800 | π 𧲠|
| Other | 0.2700 | β |
Articles included
Top entities
Top sources
Top narrative frames