Text & Content Analysis

Context: entity (finally)  |  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
finally
Window
Last 30 days
Articles
1
From
2026-06-27 02:38:00+00
To
2026-06-27 02:38:00+00
Range
2026-05-29 13:10:26.329599+00 β†’ 2026-06-28 13:10:26.329599+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
afternoon TIME 1 πŸ“Š πŸ” 🧲
donald trump PERSON 1 πŸ“Š πŸ” 🧲
finally GPE 1 πŸ“Š πŸ” 🧲
first ORDINAL 1 πŸ“Š πŸ” 🧲
five to ten degrees QUANTITY 1 πŸ“Š πŸ” 🧲
four CARDINAL 1 πŸ“Š πŸ” 🧲
fourth of july DATE 1 πŸ“Š πŸ” 🧲
google add preferred source ORG 1 πŸ“Š πŸ” 🧲
hourly daily ORG 1 πŸ“Š πŸ” 🧲
instability ORG 1 πŸ“Š πŸ” 🧲
jump GPE 1 πŸ“Š πŸ” 🧲
lid ORG 1 πŸ“Š πŸ” 🧲
need moistureusually PERSON 1 πŸ“Š πŸ” 🧲
prime day DATE 1 πŸ“Š πŸ” 🧲
spark ORG 1 πŸ“Š πŸ” 🧲
the science behind storms WORK_OF_ART 1 πŸ“Š πŸ” 🧲
top picks PERSON 1 πŸ“Š πŸ” 🧲
trigger ORG 1 πŸ“Š πŸ” 🧲
washington GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.8100 πŸ“Š 🧲
Technology 0.1000 πŸ“Š 🧲
Government 0.0600 πŸ“Š 🧲
Health 0.0300 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
2026-06-27 02:38:00+00 Science wmtw.com The Science Behind Storms: Four ingredients that make thunderstorms Analyze Emily Pike 😐 neutral 0.0967