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
Publisher
scmp.com
Articles
20
From
2026-07-04 11:30:06+00
To
2026-07-29 07:30:07+00
Range
2026-07-01 23:19:13.974285+00 →
2026-07-31 23:19:13.974285+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| china | GPE | 14 | 📊 🔍 🧲 |
| chinese | NORP | 12 | 📊 🔍 🧲 |
| u.s. | GPE | 7 | 📊 🔍 🧲 |
| ai | ORG | 6 | 📊 🔍 🧲 |
| beijing | GPE | 6 | 📊 🔍 🧲 |
| britain | GPE | 3 | 📊 🔍 🧲 |
| british | NORP | 3 | 📊 🔍 🧲 |
| cambridge | GPE | 3 | 📊 🔍 🧲 |
| hong kong | GPE | 3 | 📊 🔍 🧲 |
| peking university | ORG | 3 | 📊 🔍 🧲 |
| uk | GPE | 3 | 📊 🔍 🧲 |
| victoria bela | PERSON | 3 | 📊 🔍 🧲 |
| advertisement select voice select speed | ORG | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| chen | PERSON | 2 | 📊 🔍 🧲 |
| chen peipei | PERSON | 2 | 📊 🔍 🧲 |
| earth | LOC | 2 | 📊 🔍 🧲 |
| listen ling xin | PERSON | 2 | 📊 🔍 🧲 |
| min | ORG | 2 | 📊 🔍 🧲 |
| new york city | GPE | 2 | 📊 🔍 🧲 |
| nobel prize | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| ohio | GPE | 2 | 📊 🔍 🧲 |
| omar yaghi | PERSON | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| phd | WORK_OF_ART | 2 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Environment, Climate | 7.0300 | 📊 🧲 |
| Technology | 3.4700 | 📊 🧲 |
| Government | 3.0800 | 📊 🧲 |
| Business, Companies | 2.7000 | 📊 🧲 |
| Civil Unrest, Conflict | 1.4100 | 📊 🧲 |
| Friends and Family | 1.0900 | 📊 🧲 |
| Entertainment | 0.4300 | 📊 🧲 |
| Food and Beverage | 0.3000 | 📊 🧲 |
| Other | 0.4100 | — |
Articles included
Top entities
Top sources
Top narrative frames