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
hours
Articles
9
From
2026-04-03 17:34:13+00
To
2026-04-27 08:26:16+00
Range
2026-03-29 14:49:30.500408+00 β
2026-04-28 14:49:30.500408+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| hours | TIME | 9 | π π 𧲠|
| donald trump | PERSON | 4 | π π 𧲠|
| u.s. | GPE | 3 | π π 𧲠|
| austin reaves | PERSON | 2 | π π 𧲠|
| california | GPE | 2 | π π 𧲠|
| daniel munoz | PERSON | 2 | π π 𧲠|
| espn | ORG | 2 | π π 𧲠|
| ir | ORG | 2 | π π 𧲠|
| jack baer staff | PERSON | 2 | π π 𧲠|
| kevin durant | PERSON | 2 | π π 𧲠|
| lakers | PERSON | 2 | π π 𧲠|
| luka donΔiΔ | PERSON | 2 | π π 𧲠|
| nj | ORG | 2 | π π 𧲠|
| north jersey | GPE | 2 | π π 𧲠|
| one | CARDINAL | 2 | π π 𧲠|
| rockets | ORG | 2 | π π 𧲠|
| stephanie noda | ORG | 2 | π π 𧲠|
| the los angeles lakers | ORG | 2 | π π 𧲠|
| PERSON | 2 | π π 𧲠| |
| weeks later | DATE | 2 | π π 𧲠|
| 270 million | MONEY | 1 | π π 𧲠|
| 533 million | MONEY | 1 | π π 𧲠|
| 6 million | MONEY | 1 | π π 𧲠|
| 975 million | MONEY | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 22.22 | π π° 𧲠|
|
|
2 | 22.22 | 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 |
|---|---|---|
| Government | 1.9000 | π 𧲠|
| Environment, Climate | 1.7900 | π 𧲠|
| Business, Companies | 1.6200 | π 𧲠|
| Civil Unrest, Conflict | 1.2000 | π 𧲠|
| Technology | 1.0900 | π 𧲠|
| Political Theatre | 0.4700 | π 𧲠|
| Food and Beverage | 0.4500 | π 𧲠|
| Entertainment | 0.2200 | π 𧲠|
| Other | 0.2300 | β |
Articles included
Top entities
Top sources
Top narrative frames