Text & Content Analysis

Context: entity (bhattacharyya)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 1 articles

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.

Corpus KPIs

Entity
bhattacharyya
Window
Last 30 days
Articles
1
From
2026-02-18 17:00:00+00
To
2026-02-18 17:00:00+00
Range
2026-02-07 22:58:38.276814+00 β†’ 2026-03-09 22:58:38.276814+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
npr.org 1 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Topic Weight Actions
Government 0.7100 πŸ“Š 🧲
Political Theatre 0.2100 πŸ“Š 🧲
Business, Companies 0.0400 πŸ“Š 🧲
Civil Unrest, Conflict 0.0400 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-02-18 17:00:00+00 Politics npr.org Trump would like the government he leads to pay him billions Analyze Carrie Johnson 😐 neutral 0.09