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
chinese
Articles
10
From
2026-07-26 03:19:53+00
To
2026-07-31 21:29:07+00
Range
2026-07-25 08:19:10.512986+00 →
2026-08-01 08:19:10.512986+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| chinese | NORP | 10 | 📊 🔍 🧲 |
| china | GPE | 5 | 📊 🔍 🧲 |
| beijing | GPE | 3 | 📊 🔍 🧲 |
| earth | LOC | 3 | 📊 🔍 🧲 |
| english | NORP | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| three | CARDINAL | 2 | 📊 🔍 🧲 |
| victoria bela | PERSON | 2 | 📊 🔍 🧲 |
| 33s | DATE | 1 | 📊 🔍 🧲 |
| aaas | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| anderson | PERSON | 1 | 📊 🔍 🧲 |
| andrew | PERSON | 1 | 📊 🔍 🧲 |
| andrew ridgeley | PERSON | 1 | 📊 🔍 🧲 |
| andrew ridgeleybig geoff | PERSON | 1 | 📊 🔍 🧲 |
| andrew ridgeleybig geoff movies review wham | PERSON | 1 | 📊 🔍 🧲 |
| andrew ridgeleybig geoff view | PERSON | 1 | 📊 🔍 🧲 |
| antonioni | PERSON | 1 | 📊 🔍 🧲 |
| argos | ORG | 1 | 📊 🔍 🧲 |
| argoss | ORG | 1 | 📊 🔍 🧲 |
| article sources michailidis | LAW | 1 | 📊 🔍 🧲 |
| aschenbrenner | ORG | 1 | 📊 🔍 🧲 |
| asian | NORP | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 4.3400 | 📊 🧲 |
| Business, Companies | 2.1700 | 📊 🧲 |
| Government | 1.4200 | 📊 🧲 |
| Technology | 0.5900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3900 | 📊 🧲 |
| Entertainment | 0.3800 | 📊 🧲 |
| Political Theatre | 0.2200 | 📊 🧲 |
| Food and Beverage | 0.1900 | 📊 🧲 |
| Other | 0.2500 | — |
Articles included
Top entities
Top sources
Top narrative frames