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
variety
Articles
9
From
Mon, Sep 7 • 8:09 AM EDT
To
Fri, Oct 2 • 12:38 AM EDT
Range
Sun, Sep 6 • 9:10 AM EDT →
Tue, Oct 6 • 9:10 AM EDT
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| variety | PERSON | 9 | 📊 🔍 🧲 |
| javascript | PRODUCT | 6 | 📊 🔍 🧲 |
| american | NORP | 4 | 📊 🔍 🧲 |
| exclusive | WORK_OF_ART | 3 | 📊 🔍 🧲 |
| netflix | GPE | 3 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| africa | LOC | 2 | 📊 🔍 🧲 |
| ai | ORG | 2 | 📊 🔍 🧲 |
| email print copy | PERSON | 2 | 📊 🔍 🧲 |
| english | LANGUAGE | 2 | 📊 🔍 🧲 |
| france | GPE | 2 | 📊 🔍 🧲 |
| hollywood | GPE | 2 | 📊 🔍 🧲 |
| house | ORG | 2 | 📊 🔍 🧲 |
| los angeles | GPE | 2 | 📊 🔍 🧲 |
| texas | GPE | 2 | 📊 🔍 🧲 |
| tiktok | ORG | 2 | 📊 🔍 🧲 |
| videos | ORG | 2 | 📊 🔍 🧲 |
| youtube | ORG | 2 | 📊 🔍 🧲 |
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 100000 | MONEY | 1 | 📊 🔍 🧲 |
| 106 million | MONEY | 1 | 📊 🔍 🧲 |
| 116 billion | MONEY | 1 | 📊 🔍 🧲 |
| 40 million | MONEY | 1 | 📊 🔍 🧲 |
| 50 million | MONEY | 1 | 📊 🔍 🧲 |
| 69 billion | MONEY | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 5.2600 | 📊 🧲 |
| Entertainment | 0.9000 | 📊 🧲 |
| Government | 0.8300 | 📊 🧲 |
| Environment, Climate | 0.6100 | 📊 🧲 |
| Civil Unrest, Conflict | 0.4500 | 📊 🧲 |
| Technology | 0.3800 | 📊 🧲 |
| Political Theatre | 0.2500 | 📊 🧲 |
| Friends and Family | 0.1900 | 📊 🧲 |
| Other | 0.0700 | — |
Articles included
Top entities
Top sources
Top narrative frames