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
portugal
Articles
9
From
Sat, Sep 5 β’ 1:40 PM EDT
To
Mon, Sep 28 β’ 3:05 AM EDT
Range
Tue, Sep 1 β’ 11:04 AM EDT β
Thu, Oct 1 β’ 11:04 AM EDT
Whoβs being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| portugal | GPE | 9 | π π 𧲠|
| spain | GPE | 3 | π π 𧲠|
| utc | ORG | 3 | π π 𧲠|
| bellamy | ORG | 2 | π π 𧲠|
| croatia | GPE | 2 | π π 𧲠|
| germany | GPE | 2 | π π 𧲠|
| nine | CARDINAL | 2 | π π 𧲠|
| norway | GPE | 2 | π π 𧲠|
| u.s. | GPE | 2 | π π 𧲠|
| 18 billion | MONEY | 1 | π π 𧲠|
| 210 million | MONEY | 1 | π π 𧲠|
| 22 billion | MONEY | 1 | π π 𧲠|
| 90 million | MONEY | 1 | π π 𧲠|
| adam escada | PERSON | 1 | π π 𧲠|
| afp sat | PERSON | 1 | π π 𧲠|
| amsterdam | GPE | 1 | π π 𧲠|
| andreas schjelderup | PERSON | 1 | π π 𧲠|
| angela gabriel | PERSON | 1 | π π 𧲠|
| anna pavlekova | PERSON | 1 | π π 𧲠|
| anton vierietin contract | PERSON | 1 | π π 𧲠|
| api | ORG | 1 | π π 𧲠|
| asia | LOC | 1 | π π 𧲠|
| basel | GPE | 1 | π π 𧲠|
| beach handball | PERSON | 1 | π π 𧲠|
| big pharma | LOC | 1 | π π 𧲠|
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.1400 | π 𧲠|
| Technology | 2.0500 | π 𧲠|
| Environment, Climate | 1.2400 | π 𧲠|
| Government | 0.7800 | π 𧲠|
| Food and Beverage | 0.4500 | π 𧲠|
| Health | 0.3700 | π 𧲠|
| Political Theatre | 0.2900 | π 𧲠|
| Civil Unrest, Conflict | 0.2300 | π 𧲠|
| Other | 0.3200 | β |
Articles included
Top entities
Top sources
Top narrative frames