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
south african
Articles
7
From
2026-05-22 17:17:38+00
To
2026-06-14 11:17:30+00
Range
2026-05-16 03:52:34.628696+00 β
2026-06-15 03:52:34.628696+00
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| south african | NORP | 7 | π π 𧲠|
| south africa | LOC | 4 | π π 𧲠|
| brazil | GPE | 2 | π π 𧲠|
| day 1 | DATE | 2 | π π 𧲠|
| london | GPE | 2 | π π 𧲠|
| mexico | GPE | 2 | π π 𧲠|
| the world cup | EVENT | 2 | π π 𧲠|
| world cup | EVENT | 2 | π π 𧲠|
| acsm | ORG | 1 | π π 𧲠|
| africa | LOC | 1 | π π 𧲠|
| afterthoughts | GPE | 1 | π π 𧲠|
| ai | ORG | 1 | π π 𧲠|
| albums 8 staying | PERSON | 1 | π π 𧲠|
| albums view | ORG | 1 | π π 𧲠|
| aldeburgh | GPE | 1 | π π 𧲠|
| alex ho | PERSON | 1 | π π 𧲠|
| alex hutchinson | PERSON | 1 | π π 𧲠|
| alexa | PERSON | 1 | π π 𧲠|
| amaarae | GPE | 1 | π π 𧲠|
| amani | PERSON | 1 | π π 𧲠|
| amazon | ORG | 1 | π π 𧲠|
| amazon amazon | ORG | 1 | π π 𧲠|
| amazon luna | ORG | 1 | π π 𧲠|
| amazon originals | ORG | 1 | π π 𧲠|
| amazon shopping | ORG | 1 | π π 𧲠|
Whoβs talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
3 | 42.86 | π π° 𧲠|
aboutamazon.com
|
1 | 14.29 | π π° 𧲠|
|
|
1 | 14.29 | π π° 𧲠|
|
|
1 | 14.29 | π π° 𧲠|
|
|
1 | 14.29 | π π° 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.5000 | π 𧲠|
| Civil Unrest, Conflict | 0.8900 | π 𧲠|
| Technology | 0.8500 | π 𧲠|
| Entertainment | 0.6800 | π 𧲠|
| Government | 0.5900 | π 𧲠|
| Food and Beverage | 0.5000 | π 𧲠|
| Political Theatre | 0.3900 | π 𧲠|
| Environment, Climate | 0.3200 | π 𧲠|
| Other | 0.2100 | β |
Articles included
Top entities
Top sources
Top narrative frames