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
pisa
Articles
2
From
2026-09-08 14:42:47+00
To
2026-09-09 12:05:00+00
Range
2026-09-03 12:48:04.918257+00 →
2026-09-10 12:48:04.918257+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| oecd | ORG | 2 | 📊 🔍 🧲 |
| pisa | ORG | 2 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ai qazinform published | ORG | 1 | 📊 🔍 🧲 |
| astana | GPE | 1 | 📊 🔍 🧲 |
| beijing | GPE | 1 | 📊 🔍 🧲 |
| between 2022 and 2025 | DATE | 1 | 📊 🔍 🧲 |
| cambodia | GPE | 1 | 📊 🔍 🧲 |
| central asia | LOC | 1 | 📊 🔍 🧲 |
| chinese | NORP | 1 | 📊 🔍 🧲 |
| dushanbe | ORG | 1 | 📊 🔍 🧲 |
| eu | ORG | 1 | 📊 🔍 🧲 |
| hong kong | GPE | 1 | 📊 🔍 🧲 |
| jiangsu | GPE | 1 | 📊 🔍 🧲 |
| kazakhstan | GPE | 1 | 📊 🔍 🧲 |
| kazakhstani | NORP | 1 | 📊 🔍 🧲 |
| kyrgyzstan | GPE | 1 | 📊 🔍 🧲 |
| level 2 | PRODUCT | 1 | 📊 🔍 🧲 |
| math | PERSON | 1 | 📊 🔍 🧲 |
| may to july 2025 | DATE | 1 | 📊 🔍 🧲 |
| min | ORG | 1 | 📊 🔍 🧲 |
| only 14 | PERCENT | 1 | 📊 🔍 🧲 |
| pisa 2025 | LAW | 1 | 📊 🔍 🧲 |
| qazinform | PERSON | 1 | 📊 🔍 🧲 |
| qazinform news agency | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-09-09 12:05:00+00 | Science |
|
Kazakhstan records long-term gains in science as math scores fall in PISA 2025 | Analyze | @kazinform_eng | 😐 neutral | 0.0298 |
| 2026-09-08 14:42:47+00 | Science |
|
Hong Kong students drop in global rankings for maths, science and literacy | Analyze | South China Morning Post | 😐 neutral | 0.11 |