Text & Content Analysis

Context: entity (math)  |  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
math
Window
Last 30 days
Articles
2
From
Fri, Aug 28 β€’ 12:40 PM EDT
To
Wed, Sep 9 β€’ 8:05 AM EDT
Range
Sat, Aug 22 β€’ 4:40 PM EDT β†’ Mon, Sep 21 β€’ 4:40 PM EDT
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.9400 πŸ“Š 🧲
Friends and Family 0.7400 πŸ“Š 🧲
Environment, Climate 0.1900 πŸ“Š 🧲
Food and Beverage 0.0600 πŸ“Š 🧲
Business, Companies 0.0300 πŸ“Š 🧲
Entertainment 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
2026-09-09 12:05:00+00 Science qazinform.com Kazakhstan records long-term gains in science as math scores fall in PISA 2025 Analyze @kazinform_eng 😐 neutral 0.0298
2026-08-28 16:40:05+00 Science carolinajournal.com Survey: NC afterschool STEM grows, computer science lags Analyze David Bass 😐 neutral 0.0614