Text & Content Analysis
This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Corpus KPIs
Entity
andreas murkudis
Articles
1
From
2026-01-23 05:30:00+00
To
2026-01-23 05:30:00+00
Range
2026-01-11 11:11:49.989245+00 →
2026-02-10 11:11:49.989245+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| 18 million | MONEY | 1 | 📊 🔍 🧲 |
| 6 million | MONEY | 1 | 📊 🔍 🧲 |
| andreas murkudis | PERSON | 1 | 📊 🔍 🧲 |
| apresse | ORG | 1 | 📊 🔍 🧲 |
| asakawa | ORG | 1 | 📊 🔍 🧲 |
| ashley ogawa clarke | PERSON | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| auralee | PERSON | 1 | 📊 🔍 🧲 |
| berlin | GPE | 1 | 📊 🔍 🧲 |
| carol | PRODUCT | 1 | 📊 🔍 🧲 |
| chcm | PERSON | 1 | 📊 🔍 🧲 |
| coats | PERSON | 1 | 📊 🔍 🧲 |
| europe | LOC | 1 | 📊 🔍 🧲 |
| harajuku | NORP | 1 | 📊 🔍 🧲 |
| hed mayner | PERSON | 1 | 📊 🔍 🧲 |
| isidore montag gorunwaycom | ORG | 1 | 📊 🔍 🧲 |
| japan | GPE | 1 | 📊 🔍 🧲 |
| japanese | NORP | 1 | 📊 🔍 🧲 |
| jeans into | ORG | 1 | 📊 🔍 🧲 |
| kiichiro asakawa | PERSON | 1 | 📊 🔍 🧲 |
| la | GPE | 1 | 📊 🔍 🧲 |
| la garçonne | PERSON | 1 | 📊 🔍 🧲 |
| mohawk general store | ORG | 1 | 📊 🔍 🧲 |
| murkudis | PERSON | 1 | 📊 🔍 🧲 |
| naichichi | GPE | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-01-23 05:30:00+00 | Business |
|
How to Turn 300 Pairs of Jeans Into a Billion-Yen Business | Analyze | Ashley Ogawa Clarke | 🙂 positive | 0.1733 |