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
singapore
Articles
6
From
2026-04-08 07:00:00+00
To
2026-05-02 21:40:33+00
Range
2026-04-06 06:16:11.097526+00 →
2026-05-06 06:16:11.097526+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| singapore | GPE | 6 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| italian | NORP | 2 | 📊 🔍 🧲 |
| las vegas | GPE | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 102 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 1135 billion | MONEY | 1 | 📊 🔍 🧲 |
| 116 billion | MONEY | 1 | 📊 🔍 🧲 |
| 123 billion | MONEY | 1 | 📊 🔍 🧲 |
| 234 million | MONEY | 1 | 📊 🔍 🧲 |
| 3 million | MONEY | 1 | 📊 🔍 🧲 |
| 3802 billion | MONEY | 1 | 📊 🔍 🧲 |
| 4 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 billion | MONEY | 1 | 📊 🔍 🧲 |
| 84 billion | MONEY | 1 | 📊 🔍 🧲 |
| 98 trillion | MONEY | 1 | 📊 🔍 🧲 |
| abel | PERSON | 1 | 📊 🔍 🧲 |
| ac milan | ORG | 1 | 📊 🔍 🧲 |
| adelson | ORG | 1 | 📊 🔍 🧲 |
| adelsons | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ajit jain | PERSON | 1 | 📊 🔍 🧲 |
| alan molasky | PERSON | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
|
|
1 | 16.67 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 1.5400 | 📊 🧲 |
| Environment, Climate | 1.4100 | 📊 🧲 |
| Business, Companies | 1.0400 | 📊 🧲 |
| Technology | 0.5600 | 📊 🧲 |
| Entertainment | 0.4500 | 📊 🧲 |
| Food and Beverage | 0.2900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.2700 | 📊 🧲 |
| Political Theatre | 0.2300 | 📊 🧲 |
| Other | 0.2000 | — |
Articles included
Top entities
Top sources
Top narrative frames