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
asia
Articles
10
From
2026-07-07 22:07:18+00
To
2026-07-27 04:15:15+00
Range
2026-06-29 17:06:15.302366+00 →
2026-07-29 17:06:15.302366+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| asia | LOC | 10 | 📊 🔍 🧲 |
| bangkok | GPE | 3 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| u.s. | GPE | 3 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
| european | NORP | 2 | 📊 🔍 🧲 |
| germany | GPE | 2 | 📊 🔍 🧲 |
| india | GPE | 2 | 📊 🔍 🧲 |
| islamist | NORP | 2 | 📊 🔍 🧲 |
| lumpinee stadium | FAC | 2 | 📊 🔍 🧲 |
| muay thai | PERSON | 2 | 📊 🔍 🧲 |
| thailand | GPE | 2 | 📊 🔍 🧲 |
| the best pictures from the inner circle | ORG | 2 | 📊 🔍 🧲 |
| the inner circle | LOC | 2 | 📊 🔍 🧲 |
| two | CARDINAL | 2 | 📊 🔍 🧲 |
| vijay kumar sat | PERSON | 2 | 📊 🔍 🧲 |
| washington | GPE | 2 | 📊 🔍 🧲 |
| who | ORG | 2 | 📊 🔍 🧲 |
| world title | ORG | 2 | 📊 🔍 🧲 |
| 1264 billion | MONEY | 1 | 📊 🔍 🧲 |
| 18 billion | MONEY | 1 | 📊 🔍 🧲 |
| 200 million | MONEY | 1 | 📊 🔍 🧲 |
| 420 million | MONEY | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 1.9500 | 📊 🧲 |
| Civil Unrest, Conflict | 1.7200 | 📊 🧲 |
| Technology | 1.5000 | 📊 🧲 |
| Government | 1.3700 | 📊 🧲 |
| Environment, Climate | 1.0200 | 📊 🧲 |
| Entertainment | 0.9600 | 📊 🧲 |
| Health | 0.7800 | 📊 🧲 |
| Friends and Family | 0.5000 | 📊 🧲 |
| Other | 0.1300 | — |
Articles included
Top entities
Top sources
Top narrative frames