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
beijing
Articles
23
From
2026-08-12 06:15:52+00
To
2026-09-09 23:09:49+00
Range
2026-08-11 00:56:39.430858+00 β
2026-09-10 00:56:39.430858+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| beijing | GPE | 23 | π π 𧲠|
| china | GPE | 20 | π π 𧲠|
| chinese | NORP | 15 | π π 𧲠|
| u.s. | GPE | 15 | π π 𧲠|
| ai | ORG | 8 | π π 𧲠|
| american | NORP | 8 | π π 𧲠|
| america | GPE | 5 | π π 𧲠|
| asia | LOC | 5 | π π 𧲠|
| donald trump | ORG | 5 | π π 𧲠|
| new york | GPE | 5 | π π 𧲠|
| washington | GPE | 5 | π π 𧲠|
| england | GPE | 4 | π π 𧲠|
| israel | GPE | 4 | π π 𧲠|
| shanghai | GPE | 4 | π π 𧲠|
| thailand | GPE | 4 | π π 𧲠|
| two | CARDINAL | 4 | π π 𧲠|
| ap | ORG | 3 | π π 𧲠|
| birth | PERSON | 3 | π π 𧲠|
| boston university | ORG | 3 | π π 𧲠|
| cnn | ORG | 3 | π π 𧲠|
| cohen | PERSON | 3 | π π 𧲠|
| daylight saving | WORK_OF_ART | 3 | π π 𧲠|
| earth | LOC | 3 | π π 𧲠|
| elizabeth cohen | PERSON | 3 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
12 | 52.17 | π π° 𧲠|
|
|
2 | 8.70 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
|
|
1 | 4.35 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 6.6400 | π 𧲠|
| Business, Companies | 5.1100 | π 𧲠|
| Technology | 4.2800 | π 𧲠|
| Government | 3.0000 | π 𧲠|
| Political Theatre | 1.3200 | π 𧲠|
| Friends and Family | 1.0100 | π 𧲠|
| Civil Unrest, Conflict | 0.4700 | π 𧲠|
| Food and Beverage | 0.4400 | π 𧲠|
| Other | 0.5500 | β |
Articles included
Top entities
Top sources
Top narrative frames