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
kpmg
Articles
2
From
2026-03-29 04:03:59+00
To
2026-04-19 10:30:00+00
Range
2026-03-20 20:27:48.523069+00 →
2026-04-19 20:27:48.523069+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| american | NORP | 2 | 📊 🔍 🧲 |
| kpmg | ORG | 2 | 📊 🔍 🧲 |
| 12 trillion | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| ai animal | ORG | 1 | 📊 🔍 🧲 |
| arkclaw | ORG | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| austrian | NORP | 1 | 📊 🔍 🧲 |
| baidu | ORG | 1 | 📊 🔍 🧲 |
| baidus openclaw event | ORG | 1 | 📊 🔍 🧲 |
| beijing | GPE | 1 | 📊 🔍 🧲 |
| brookings institution | ORG | 1 | 📊 🔍 🧲 |
| centers for medicare medicaid services | ORG | 1 | 📊 🔍 🧲 |
| chan | PERSON | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| chinese | NORP | 1 | 📊 🔍 🧲 |
| citing bureau of labor statistics | ORG | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| detroit | GPE | 1 | 📊 🔍 🧲 |
| duclaw | GPE | 1 | 📊 🔍 🧲 |
| ev | ORG | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| fewer hours | TIME | 1 | 📊 🔍 🧲 |
| florence loreuters | PERSON | 1 | 📊 🔍 🧲 |
| follow taipei | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-19 10:30:00+00 | Health |
|
‘The current system right now is unsustainable’: top economist sees a crucial crack in the economy | Analyze | Sasha Rogelberg | 😐 neutral | 0.0508 |
| 2026-03-29 04:03:59+00 | Business |
|
Behind the lobster merch, China’s latest tech obsession could be a game changer | Analyze | CNN | 😐 neutral | 0.0937 |