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
tokyo
Articles
6
From
Thu, Aug 27 • 10:07 AM EDT
To
Tue, Sep 22 • 7:53 AM EDT
Range
Mon, Aug 24 • 5:02 AM EDT →
Wed, Sep 23 • 5:02 AM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| tokyo | GPE | 6 | 📊 🔍 🧲 |
| ai | ORG | 3 | 📊 🔍 🧲 |
| asia | LOC | 2 | 📊 🔍 🧲 |
| boston | GPE | 2 | 📊 🔍 🧲 |
| california | GPE | 2 | 📊 🔍 🧲 |
| china | GPE | 2 | 📊 🔍 🧲 |
| japan | GPE | 2 | 📊 🔍 🧲 |
| massachusetts | GPE | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| openai | GPE | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 100000 | MONEY | 1 | 📊 🔍 🧲 |
| 18 billion | MONEY | 1 | 📊 🔍 🧲 |
| 210 million | MONEY | 1 | 📊 🔍 🧲 |
| 22 billion | MONEY | 1 | 📊 🔍 🧲 |
| 40 million | MONEY | 1 | 📊 🔍 🧲 |
| 90 million | MONEY | 1 | 📊 🔍 🧲 |
| acquisitions | ORG | 1 | 📊 🔍 🧲 |
| advertisement amodei | PERSON | 1 | 📊 🔍 🧲 |
| ai data centers | ORG | 1 | 📊 🔍 🧲 |
| aimed at being a nextgen | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| alaina hartley | PERSON | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| amsterdam | GPE | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.2900 | 📊 🧲 |
| Government | 1.4600 | 📊 🧲 |
| Environment, Climate | 0.8200 | 📊 🧲 |
| Technology | 0.6900 | 📊 🧲 |
| Health | 0.1800 | 📊 🧲 |
| Entertainment | 0.1500 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1500 | 📊 🧲 |
| Political Theatre | 0.1100 | 📊 🧲 |
| Other | 0.1300 | — |
Articles included
Top entities
Top sources
Top narrative frames