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
github
Articles
2
From
2026-03-06 02:44:34+00
To
2026-03-14 06:00:12+00
Range
2026-02-26 06:01:36.573348+00 →
2026-03-28 06:01:36.573348+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| github | ORG | 2 | 📊 🔍 🧲 |
| ai foundry | ORG | 1 | 📊 🔍 🧲 |
| ai pete hegseth see | ORG | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| amodei | ORG | 1 | 📊 🔍 🧲 |
| anthropic | PERSON | 1 | 📊 🔍 🧲 |
| anthropics | ORG | 1 | 📊 🔍 🧲 |
| bengaluru | GPE | 1 | 📊 🔍 🧲 |
| between july and december 2025 | DATE | 1 | 📊 🔍 🧲 |
| biobank | ORG | 1 | 📊 🔍 🧲 |
| british | NORP | 1 | 📊 🔍 🧲 |
| claude | PRODUCT | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| congress | ORG | 1 | 📊 🔍 🧲 |
| dario amodei | PERSON | 1 | 📊 🔍 🧲 |
| data | ORG | 1 | 📊 🔍 🧲 |
| dave guttridge | PERSON | 1 | 📊 🔍 🧲 |
| defense | ORG | 1 | 📊 🔍 🧲 |
| democrats | NORP | 1 | 📊 🔍 🧲 |
| department | ORG | 1 | 📊 🔍 🧲 |
| department of war | ORG | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
| exclusive guardian | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-03-14 06:00:12+00 | Health |
|
Confidential health records from UK BioBank project exposed online | Analyze | Hannah Devlin,Tom Burgis,Luke Hoyland | 😐 neutral | 0.0965 |
| 2026-03-06 02:44:34+00 | Business |
|
Anthropic says the Pentagon’s supply chain risk label will have less business impact than feared | Analyze | Hadas Gold | 😐 neutral | 0.0261 |