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
brazil
Articles
16
From
Fri, Aug 28 β’ 12:00 AM EDT
To
Fri, Sep 25 β’ 2:36 AM EDT
Range
Wed, Aug 26 β’ 2:36 PM EDT β
Fri, Sep 25 β’ 2:36 PM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| brazil | GPE | 16 | π π 𧲠|
| u.s. | GPE | 5 | π π 𧲠|
| brazilian | NORP | 3 | π π 𧲠|
| germany | GPE | 3 | π π 𧲠|
| indonesia | GPE | 3 | π π 𧲠|
| one | CARDINAL | 3 | π π 𧲠|
| philippines | GPE | 3 | π π 𧲠|
| britain | GPE | 2 | π π 𧲠|
| canada | GPE | 2 | π π 𧲠|
| china | GPE | 2 | π π 𧲠|
| colombia | GPE | 2 | π π 𧲠|
| czech | NORP | 2 | π π 𧲠|
| earth | LOC | 2 | π π 𧲠|
| egypt | GPE | 2 | π π 𧲠|
| england | GPE | 2 | π π 𧲠|
| europe | LOC | 2 | π π 𧲠|
| european | NORP | 2 | π π 𧲠|
| ORG | 2 | π π 𧲠| |
| mexico | GPE | 2 | π π 𧲠|
| peru | GPE | 2 | π π 𧲠|
| spain | GPE | 2 | π π 𧲠|
| today | DATE | 2 | π π 𧲠|
| uk | GPE | 2 | π π 𧲠|
| 13 million | MONEY | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
4 | 25.00 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
|
|
1 | 6.25 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.9700 | π 𧲠|
| Environment, Climate | 3.2000 | π 𧲠|
| Business, Companies | 3.0800 | π 𧲠|
| Technology | 1.6100 | π 𧲠|
| Friends and Family | 1.2600 | π 𧲠|
| Civil Unrest, Conflict | 1.1200 | π 𧲠|
| Entertainment | 0.5600 | π 𧲠|
| Health | 0.5000 | π 𧲠|
| Other | 0.6500 | β |
Articles included
Top entities
Top sources
Top narrative frames