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
maansi srivastava
Articles
2
From
2026-04-25 11:00:51+00
To
2026-04-26 03:12:38+00
Range
2026-03-27 16:54:09.022275+00 →
2026-04-26 16:54:09.022275+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| cnn | ORG | 2 | 📊 🔍 🧲 |
| maansi srivastava | PERSON | 2 | 📊 🔍 🧲 |
| alibaba | GPE | 1 | 📊 🔍 🧲 |
| amazon | ORG | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| americans | NORP | 1 | 📊 🔍 🧲 |
| andrew harnik | PERSON | 1 | 📊 🔍 🧲 |
| asia | LOC | 1 | 📊 🔍 🧲 |
| asia china see | LOC | 1 | 📊 🔍 🧲 |
| baltimore | GPE | 1 | 📊 🔍 🧲 |
| between five to 10 | CARDINAL | 1 | 📊 🔍 🧲 |
| cabinet | ORG | 1 | 📊 🔍 🧲 |
| california | GPE | 1 | 📊 🔍 🧲 |
| china | GPE | 1 | 📊 🔍 🧲 |
| chinamaxxing | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| chinese | NORP | 1 | 📊 🔍 🧲 |
| cnn agents | ORG | 1 | 📊 🔍 🧲 |
| cnn construction | ORG | 1 | 📊 🔍 🧲 |
| cnn importing | ORG | 1 | 📊 🔍 🧲 |
| cnn mueller | PERSON | 1 | 📊 🔍 🧲 |
| cnn tsygan | ORG | 1 | 📊 🔍 🧲 |
| cody sourcing | PERSON | 1 | 📊 🔍 🧲 |
| cole | PRODUCT | 1 | 📊 🔍 🧲 |
| constructing | GPE | 1 | 📊 🔍 🧲 |
| donald trump | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-04-26 03:12:38+00 | Politics |
|
In pictures: Shots fired at White House Correspondents’ Dinner | Analyze | Brett Roegiers | ☹️ negative | -0.0205 |
| 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 |