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
chinese
Articles
8
From
2026-09-11 07:00:23+00
To
2026-09-16 22:31:00+00
Range
2026-09-10 03:06:35.873119+00 β
2026-09-17 03:06:35.873119+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| chinese | NORP | 8 | π π 𧲠|
| u.s. | GPE | 7 | π π 𧲠|
| china | GPE | 6 | π π 𧲠|
| donald trump | PERSON | 6 | π π 𧲠|
| ai | ORG | 5 | π π 𧲠|
| india | GPE | 3 | π π 𧲠|
| russia | GPE | 3 | π π 𧲠|
| anthropic | PERSON | 2 | π π 𧲠|
| beijing | GPE | 2 | π π 𧲠|
| congress | ORG | 2 | π π 𧲠|
| democrats | NORP | 2 | π π 𧲠|
| iran | GPE | 2 | π π 𧲠|
| jacob coxon | PERSON | 2 | π π 𧲠|
| senate | ORG | 2 | π π 𧲠|
| 1231 million | MONEY | 1 | π π 𧲠|
| 14 billion | MONEY | 1 | π π 𧲠|
| 2763 million | MONEY | 1 | π π 𧲠|
| 335 billion | MONEY | 1 | π π 𧲠|
| 4448 million | MONEY | 1 | π π 𧲠|
| 480 million | MONEY | 1 | π π 𧲠|
| 592 million | MONEY | 1 | π π 𧲠|
| 678 million | MONEY | 1 | π π 𧲠|
| 778 million | MONEY | 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 | 2.0200 | π 𧲠|
| Business, Companies | 1.4300 | π 𧲠|
| Technology | 1.3600 | π 𧲠|
| Political Theatre | 1.2200 | π 𧲠|
| Environment, Climate | 1.2000 | π 𧲠|
| Civil Unrest, Conflict | 0.3800 | π 𧲠|
| Friends and Family | 0.2500 | π 𧲠|
| Entertainment | 0.0800 | π 𧲠|
| Other | 0.0100 | β |
Articles included
Top entities
Top sources
Top narrative frames