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
north american
Articles
10
From
Mon, Sep 7 β’ 2:30 PM EDT
To
Thu, Oct 1 β’ 8:45 AM EDT
Range
Sat, Sep 5 β’ 1:10 AM EDT β
Mon, Oct 5 β’ 1:10 AM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| u.s. | GPE | 11 | π π 𧲠|
| north american | NORP | 10 | π π 𧲠|
| donald trump | PERSON | 5 | π π 𧲠|
| one | CARDINAL | 5 | π π 𧲠|
| north america | LOC | 4 | π π 𧲠|
| new york | GPE | 3 | π π 𧲠|
| american | NORP | 2 | π π 𧲠|
| canada | GPE | 2 | π π 𧲠|
| canadian | NORP | 2 | π π 𧲠|
| copy | PERSON | 2 | π π 𧲠|
| dallas | GPE | 2 | π π 𧲠|
| dc | GPE | 2 | π π 𧲠|
| email bluesky facebook | PERSON | 2 | π π 𧲠|
| fifa | ORG | 2 | π π 𧲠|
| florida | GPE | 2 | π π 𧲠|
| india | GPE | 2 | π π 𧲠|
| linkedin x | PERSON | 2 | π π 𧲠|
| new york city | GPE | 2 | π π 𧲠|
| republicans | NORP | 2 | π π 𧲠|
| share | PRODUCT | 2 | π π 𧲠|
| washington | GPE | 2 | π π 𧲠|
| world cup | EVENT | 2 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 20.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
|
|
1 | 10.00 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 3.5800 | π 𧲠|
| Business, Companies | 1.7200 | π 𧲠|
| Environment, Climate | 1.6500 | π 𧲠|
| Technology | 1.0200 | π 𧲠|
| Political Theatre | 0.8900 | π 𧲠|
| Friends and Family | 0.6400 | π 𧲠|
| Civil Unrest, Conflict | 0.3100 | π 𧲠|
| Food and Beverage | 0.0800 | π 𧲠|
| Other | 0.0700 | β |
Articles included
Top entities
Top sources
Top narrative frames