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
2
From
2026-09-14 01:25:00+00
To
2026-09-14 01:42:27+00
Range
2026-09-14 00:58:38.702195+00 →
2026-09-15 00:58:38.702195+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| chinese | NORP | 2 | 📊 🔍 🧲 |
| ai posted sep 13 | ORG | 1 | 📊 🔍 🧲 |
| airbuschina | ORG | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| atlantic | LOC | 1 | 📊 🔍 🧲 |
| brics | ORG | 1 | 📊 🔍 🧲 |
| cdt copied check | ORG | 1 | 📊 🔍 🧲 |
| charming beijing | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| china daily | ORG | 1 | 📊 🔍 🧲 |
| desai | PERSON | 1 | 📊 🔍 🧲 |
| dubya | PERSON | 1 | 📊 🔍 🧲 |
| george washington | PERSON | 1 | 📊 🔍 🧲 |
| global south | ORG | 1 | 📊 🔍 🧲 |
| gmd sco summit cities tianjin grow | ORG | 1 | 📊 🔍 🧲 |
| india | GPE | 1 | 📊 🔍 🧲 |
| japanese | NORP | 1 | 📊 🔍 🧲 |
| jenn gidman | PERSON | 1 | 📊 🔍 🧲 |
| kindle | PERSON | 1 | 📊 🔍 🧲 |
| li min | PERSON | 1 | 📊 🔍 🧲 |
| new delhi africa | GPE | 1 | 📊 🔍 🧲 |
| newser | PERSON | 1 | 📊 🔍 🧲 |
| pick | PERSON | 1 | 📊 🔍 🧲 |
| rio grandes | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
1 | 50.00 | 📊 📰 🧲 |
|
|
1 | 50.00 | 📊 📰 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-14 01:42:27+00 | Science |
|
AI brings science fiction to life | Analyze | Li Min | 😐 neutral | 0.202 |
| 2026-09-14 01:25:00+00 | Technology |
|
Tiny $70 E-Reader Makes Reading Addictive Again | Analyze | Jenn Gidman | 😐 neutral | 0.0813 |