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
hong kong
Articles
10
From
2026-04-15 09:09:02+00
To
2026-05-13 01:30:05+00
Range
2026-04-13 04:27:06.639643+00 β
2026-05-13 04:27:06.639643+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| hong kong | GPE | 10 | π π 𧲠|
| china | GPE | 6 | π π 𧲠|
| ai | ORG | 4 | π π 𧲠|
| chinese | NORP | 4 | π π 𧲠|
| u.s. | GPE | 4 | π π 𧲠|
| beijing | GPE | 3 | π π 𧲠|
| alibaba | GPE | 2 | π π 𧲠|
| american | NORP | 2 | π π 𧲠|
| atlanta | GPE | 2 | π π 𧲠|
| donald trump | PERSON | 2 | π π 𧲠|
| ev | ORG | 2 | π π 𧲠|
| india | GPE | 2 | π π 𧲠|
| luka donΔiΔ | PERSON | 2 | π π 𧲠|
| may 1920 2026 | DATE | 2 | π π 𧲠|
| nba | ORG | 2 | π π 𧲠|
| philadelphia | GPE | 2 | π π 𧲠|
| shanghai | GPE | 2 | π π 𧲠|
| today | DATE | 2 | π π 𧲠|
| vj edgecombe | ORG | 2 | π π 𧲠|
| washington | GPE | 2 | π π 𧲠|
| 10 billion | MONEY | 1 | π π 𧲠|
| 104 billion | MONEY | 1 | π π 𧲠|
| 17million | MONEY | 1 | π π 𧲠|
| 185 billion | MONEY | 1 | π π 𧲠|
| 25 billion | MONEY | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
3 | 30.00 | π π° 𧲠|
|
|
2 | 20.00 | π π° 𧲠|
|
|
2 | 20.00 | 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 |
|---|---|---|
| Business, Companies | 2.5200 | π 𧲠|
| Government | 2.0400 | π 𧲠|
| Technology | 1.6500 | π 𧲠|
| Environment, Climate | 1.5400 | π 𧲠|
| Political Theatre | 0.5900 | π 𧲠|
| Friends and Family | 0.5800 | π 𧲠|
| Food and Beverage | 0.3600 | π 𧲠|
| Civil Unrest, Conflict | 0.3300 | π 𧲠|
| Other | 0.3300 | β |
Articles included
Top entities
Top sources
Top narrative frames