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
alibaba
Articles
1
From
2026-04-25 11:00:51+00
To
2026-04-25 11:00:51+00
Range
2026-04-24 20:24:45.530911+00 →
2026-04-25 20:24:45.530911+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| alibaba | GPE | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| asia china see | LOC | 1 | 📊 🔍 🧲 |
| baltimore | GPE | 1 | 📊 🔍 🧲 |
| between five to 10 | CARDINAL | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| chinamaxxing | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| chinese | NORP | 1 | 📊 🔍 🧲 |
| cnn | ORG | 1 | 📊 🔍 🧲 |
| cnn construction | ORG | 1 | 📊 🔍 🧲 |
| cnn importing | ORG | 1 | 📊 🔍 🧲 |
| cnn mueller | PERSON | 1 | 📊 🔍 🧲 |
| cnn tsygan | ORG | 1 | 📊 🔍 🧲 |
| cody sourcing | PERSON | 1 | 📊 🔍 🧲 |
| constructing | GPE | 1 | 📊 🔍 🧲 |
| english | LANGUAGE | 1 | 📊 🔍 🧲 |
| european | NORP | 1 | 📊 🔍 🧲 |
| facebook tweet email link threads link copied | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| first | ORDINAL | 1 | 📊 🔍 🧲 |
| foshan | GPE | 1 | 📊 🔍 🧲 |
| gennadiy tsygan | PERSON | 1 | 📊 🔍 🧲 |
| hao dong | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-25 11:00:51+00 | Business |
|
Tired of high costs, some Americans are importing homes straight from China | Analyze | Ramishah Maruf | 😐 neutral | 0.0381 |