Text & Content Analysis

Context: entity (bangladeshi)  |  Window: 24h Β· 7d Β· 30d  |  Corpus: 2 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
bangladeshi
Window
Last 30 days
Articles
2
From
2026-04-12 23:59:49+00
To
2026-04-13 05:20:37+00
Range
2026-03-16 09:33:42.035713+00 β†’ 2026-04-15 09:33:42.035713+00
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
bbc.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.6800 πŸ“Š 🧲
Civil Unrest, Conflict 0.4500 πŸ“Š 🧲
Business, Companies 0.4200 πŸ“Š 🧲
Friends and Family 0.2600 πŸ“Š 🧲
Environment, Climate 0.1300 πŸ“Š 🧲
Political Theatre 0.0400 πŸ“Š 🧲
Technology 0.0200 πŸ“Š 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 2 πŸ“Š 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-13 05:20:37+00 Politics bbc.com How is online abuse putting young people off Manx politics? Analyze bbc.com 😐 neutral 0.0487
2026-04-12 23:59:49+00 Politics bbc.com SIR in West Bengal: How exclusion of nine million voters could shape state politics Analyze bbc.com 😐 neutral 0.1089