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
latino
Articles
8
From
2026-08-16 16:35:27+00
To
2026-09-14 17:34:00+00
Range
2026-08-16 14:05:34.284326+00 β
2026-09-15 14:05:34.284326+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| latino | PERSON | 8 | π π 𧲠|
| hispanic | NORP | 4 | π π 𧲠|
| covid19 | PERSON | 3 | π π 𧲠|
| spanish | NORP | 3 | π π 𧲠|
| arizona | GPE | 2 | π π 𧲠|
| austin | GPE | 2 | π π 𧲠|
| california | GPE | 2 | π π 𧲠|
| donald trump | PERSON | 2 | π π 𧲠|
| email print | PERSON | 2 | π π 𧲠|
| houston | GPE | 2 | π π 𧲠|
| ice | ORG | 2 | π π 𧲠|
| los angeles | GPE | 2 | π π 𧲠|
| massachusetts | GPE | 2 | π π 𧲠|
| medicare | ORG | 2 | π π 𧲠|
| mexican | NORP | 2 | π π 𧲠|
| one | CARDINAL | 2 | π π 𧲠|
| rio grande valley | LOC | 2 | π π 𧲠|
| texas | GPE | 2 | π π 𧲠|
| 114 million | MONEY | 1 | π π 𧲠|
| 28 billion | MONEY | 1 | π π 𧲠|
| 3 million | MONEY | 1 | π π 𧲠|
| 316 million | MONEY | 1 | π π 𧲠|
| 52 million | MONEY | 1 | π π 𧲠|
| 672 million | MONEY | 1 | π π 𧲠|
| aamc | ORG | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
|
|
1 | 12.50 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.6100 | π 𧲠|
| Friends and Family | 1.4700 | π 𧲠|
| Business, Companies | 1.0000 | π 𧲠|
| Environment, Climate | 0.6600 | π 𧲠|
| Health | 0.5000 | π 𧲠|
| Technology | 0.4200 | π 𧲠|
| Civil Unrest, Conflict | 0.2000 | π 𧲠|
| Political Theatre | 0.1000 | π 𧲠|
| Other | 0.0100 | β |
Articles included
Top entities
Top sources
Top narrative frames