Text & Content Analysis

Context: entity (over 100)  |  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
over 100
Window
Last 30 days
Articles
2
From
Tue, Sep 8 β€’ 11:41 AM EDT
To
Wed, Sep 23 β€’ 8:46 AM EDT
Range
Thu, Aug 27 β€’ 8:18 PM EDT β†’ Sat, Sep 26 β€’ 8:18 PM EDT
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
qazinform.com 1 50.00 πŸ“Š πŸ“° 🧲
theconversation.com 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Government 0.4300 πŸ“Š 🧲
Political Theatre 0.4300 πŸ“Š 🧲
Environment, Climate 0.3800 πŸ“Š 🧲
Business, Companies 0.3600 πŸ“Š 🧲
Food and Beverage 0.1900 πŸ“Š 🧲
Friends and Family 0.1700 πŸ“Š 🧲
Entertainment 0.0400 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
2026-09-23 12:46:16+00 Politics theconversation.com 2 midterm elections that brought on new eras in US politics Analyze Robert A. Strong 😐 neutral 0.1169
2026-09-08 15:41:00+00 Science qazinform.com Scientists call for joint efforts to preserve nomadic heritage Analyze @kazinform_eng 😐 neutral 0.1081