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
kospi
Articles
2
From
2026-07-31 21:29:07+00
To
2026-08-03 05:25:37+00
Range
2026-07-27 13:35:47.498877+00 →
2026-08-03 13:35:47.498877+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| kospi | ORG | 2 | 📊 🔍 🧲 |
| ORG | 1 | 📊 🔍 🧲 | |
| 20 billion | MONEY | 1 | 📊 🔍 🧲 |
| 206 billion | MONEY | 1 | 📊 🔍 🧲 |
| 206billion | MONEY | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| aschenbrenner | ORG | 1 | 📊 🔍 🧲 |
| bharti airtel trent | ORG | 1 | 📊 🔍 🧲 |
| bihar | GPE | 1 | 📊 🔍 🧲 |
| chinese | NORP | 1 | 📊 🔍 🧲 |
| cnbc | ORG | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| crude | ORG | 1 | 📊 🔍 🧲 |
| delhi | GPE | 1 | 📊 🔍 🧲 |
| dlf | ORG | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| escorts kubota | PERSON | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| fo | ORG | 1 | 📊 🔍 🧲 |
| france | GPE | 1 | 📊 🔍 🧲 |
| german | NORP | 1 | 📊 🔍 🧲 |
| germany | GPE | 1 | 📊 🔍 🧲 |
| germany retail sales data | ORG | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-08-03 05:25:37+00 | Business |
|
NSE Closing Auction Session, Yen intervention, Q1 results, $20 billion IPL Business and more | Analyze | LinkedInEditors | 😐 neutral | 0.1143 |
| 2026-07-31 21:29:07+00 | Business |
|
Situational Awareness, the hedge fund making headlines, explained | Analyze | Elisabeth Buchwald | 😐 neutral | 0.067 |