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
community
Articles
14
From
2026-04-16 06:42:00+00
To
2026-05-11 03:38:00+00
Range
2026-04-11 04:47:38.418357+00 →
2026-05-11 04:47:38.418357+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| community | PERSON | 14 | 📊 🔍 🧲 |
| u.s. | GPE | 6 | 📊 🔍 🧲 |
| bailey pemberton | PERSON | 5 | 📊 🔍 🧲 |
| fair value | ORG | 5 | 📊 🔍 🧲 |
| highlights microsoft | PERSON | 5 | 📊 🔍 🧲 |
| microsoft | ORG | 5 | 📊 🔍 🧲 |
| nvidia | ORG | 5 | 📊 🔍 🧲 |
| simply wall st | WORK_OF_ART | 5 | 📊 🔍 🧲 |
| upward valuation amid growth and competitive risks fair value | WORK_OF_ART | 5 | 📊 🔍 🧲 |
| vr | ORG | 5 | 📊 🔍 🧲 |
| company report | WORK_OF_ART | 4 | 📊 🔍 🧲 |
| dcf | ORG | 4 | 📊 🔍 🧲 |
| google add preferred source | ORG | 4 | 📊 🔍 🧲 |
| hourly daily | ORG | 4 | 📊 🔍 🧲 |
| one | CARDINAL | 4 | 📊 🔍 🧲 |
| stella ong a | PERSON | 4 | 📊 🔍 🧲 |
| tr | ORG | 4 | 📊 🔍 🧲 |
| 135 billion | MONEY | 3 | 📊 🔍 🧲 |
| ai | ORG | 3 | 📊 🔍 🧲 |
| apr 2026 ps | ORG | 3 | 📊 🔍 🧲 |
| cybersecurity | ORG | 3 | 📊 🔍 🧲 |
| giftify | ORG | 3 | 📊 🔍 🧲 |
| meta platforms | ORG | 3 | 📊 🔍 🧲 |
| popular narratives ki | PRODUCT | 3 | 📊 🔍 🧲 |
| richard bowman | PERSON | 3 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 4.0300 | 📊 🧲 |
| Government | 4.0300 | 📊 🧲 |
| Technology | 2.8400 | 📊 🧲 |
| Environment, Climate | 1.4400 | 📊 🧲 |
| Friends and Family | 0.4500 | 📊 🧲 |
| Health | 0.3600 | 📊 🧲 |
| Entertainment | 0.3200 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3000 | 📊 🧲 |
| Other | 0.2000 | — |
Articles included
Top entities
Top sources
Top narrative frames