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
diy
Articles
10
From
2026-08-19 18:17:10+00
To
2026-09-14 15:43:05+00
Range
2026-08-16 02:31:38.907181+00 →
2026-09-15 02:31:38.907181+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| diy | ORG | 10 | 📊 🔍 🧲 |
| breakthroughs | PERSON | 8 | 📊 🔍 🧲 |
| privacy policy | ORG | 8 | 📊 🔍 🧲 |
| popular science | ORG | 7 | 📊 🔍 🧲 |
| andrew paul | PERSON | 4 | 📊 🔍 🧲 |
| andrew paul staff | PERSON | 4 | 📊 🔍 🧲 |
| california | GPE | 4 | 📊 🔍 🧲 |
| ORG | 4 | 📊 🔍 🧲 | |
| google news | ORG | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| laura baisas | PERSON | 2 | 📊 🔍 🧲 |
| los angeles | GPE | 2 | 📊 🔍 🧲 |
| michigan | GPE | 2 | 📊 🔍 🧲 |
| new york city | GPE | 2 | 📊 🔍 🧲 |
| san francisco | GPE | 2 | 📊 🔍 🧲 |
| st louis | GPE | 2 | 📊 🔍 🧲 |
| a couple of months earlier | DATE | 1 | 📊 🔍 🧲 |
| ac | ORG | 1 | 📊 🔍 🧲 |
| ac film fest | ORG | 1 | 📊 🔍 🧲 |
| afghanistan | GPE | 1 | 📊 🔍 🧲 |
| african american | NORP | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| alternating currents | PERSON | 1 | 📊 🔍 🧲 |
| alternating currents 2026 | ORG | 1 | 📊 🔍 🧲 |
Who’s talking
Top Sources (Domains)
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
8 | 80.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
|
|
1 | 10.00 | 📊 📰 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 3.7000 | 📊 🧲 |
| Environment, Climate | 2.8700 | 📊 🧲 |
| Technology | 1.7600 | 📊 🧲 |
| Government | 0.5800 | 📊 🧲 |
| Entertainment | 0.4600 | 📊 🧲 |
| Friends and Family | 0.3300 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1700 | 📊 🧲 |
| Food and Beverage | 0.1000 | 📊 🧲 |
| Other | 0.0500 | — |
Articles included
Top entities
Top sources
Top narrative frames