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
microsoft
Articles
2
From
2026-02-05 14:45:00+00
To
2026-02-07 06:00:46+00
Range
2026-02-04 08:26:05.37446+00 →
2026-02-11 08:26:05.37446+00
Who’s being talked about
Top Entities
| Entity | Label | Articles | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| europe | LOC | 2 | 📊 🔍 🧲 |
| microsoft | ORG | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 1 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 5 billion | MONEY | 1 | 📊 🔍 🧲 |
| 5 trillion | MONEY | 1 | 📊 🔍 🧲 |
| 500 billions | MONEY | 1 | 📊 🔍 🧲 |
| agi | ORG | 1 | 📊 🔍 🧲 |
| ai see | ORG | 1 | 📊 🔍 🧲 |
| alan | PERSON | 1 | 📊 🔍 🧲 |
| alan bradley | PERSON | 1 | 📊 🔍 🧲 |
| alexa | ORG | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| amazon web services | ORG | 1 | 📊 🔍 🧲 |
| amd | ORG | 1 | 📊 🔍 🧲 |
| artificial | PERSON | 1 | 📊 🔍 🧲 |
| australia | GPE | 1 | 📊 🔍 🧲 |
| beijing | GPE | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| claude haiku | PERSON | 1 | 📊 🔍 🧲 |
| claude haiku 35 | PERSON | 1 | 📊 🔍 🧲 |
| coreweave | ORG | 1 | 📊 🔍 🧲 |
| days later | DATE | 1 | 📊 🔍 🧲 |
| dd | ORG | 1 | 📊 🔍 🧲 |
Articles included
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-07 06:00:46+00 | Business |
|
How Nvidia became the first $5 trillion company, in 4 charts | Analyze | Rosa de Acosta,John Liu | 🙂 positive | 0.0707 |
| 2026-02-05 14:45:00+00 | Science |
|
How well can AI and humans work together? Scientists are turning to Dungeons & Dragons to find out | Analyze | Alan Bradley | 🙂 positive | 0.1569 |