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
putin
Articles
12
From
Thu, Aug 27 β’ 10:01 AM EDT
To
Wed, Sep 23 β’ 2:35 PM EDT
Range
Tue, Aug 25 β’ 9:56 PM EDT β
Thu, Sep 24 β’ 9:56 PM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| donald trump | PERSON | 20 | π π 𧲠|
| putin | PERSON | 12 | π π 𧲠|
| russian | NORP | 12 | π π 𧲠|
| u.s. | GPE | 11 | π π 𧲠|
| democrats | NORP | 10 | π π 𧲠|
| russia | GPE | 10 | π π 𧲠|
| ukraine | GPE | 10 | π π 𧲠|
| vladimir putin | PERSON | 7 | π π 𧲠|
| washington | GPE | 7 | π π 𧲠|
| american | NORP | 6 | π π 𧲠|
| china | GPE | 6 | π π 𧲠|
| iran | GPE | 6 | π π 𧲠|
| moscow | GPE | 6 | π π 𧲠|
| ukrainian | NORP | 6 | π π 𧲠|
| canada | GPE | 5 | π π 𧲠|
| cia | ORG | 5 | π π 𧲠|
| kremlin | ORG | 5 | π π 𧲠|
| cnn | ORG | 4 | π π 𧲠|
| congress | ORG | 4 | π π 𧲠|
| democrat | NORP | 4 | π π 𧲠|
| europe | LOC | 4 | π π 𧲠|
| facebook tweet email link threads link copied | WORK_OF_ART | 4 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
4 | 33.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
|
|
1 | 8.33 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Political Theatre | 3.7100 | π 𧲠|
| Government | 2.9600 | π 𧲠|
| Civil Unrest, Conflict | 2.2800 | π 𧲠|
| Business, Companies | 1.6900 | π 𧲠|
| Environment, Climate | 0.7300 | π 𧲠|
| Technology | 0.2600 | π 𧲠|
| Health | 0.1600 | π 𧲠|
| Food and Beverage | 0.1300 | π 𧲠|
| Other | 0.0500 | β |
Articles included
Top entities
Top sources
Top narrative frames