Text & Content Analysis

Context: entity (osaka)  |  Window: 24h · 7d · 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
osaka
Window
Last 7 days
Articles
1
From
Sun, Oct 4 • 6:30 AM EDT
To
Sun, Oct 4 • 6:30 AM EDT
Range
Wed, Sep 30 • 4:07 PM EDT → Wed, Oct 7 • 4:07 PM EDT
Who’s being talked about

Top Entities

Entity Label Mentions Actions
acela GPE 1 📊 🔍 🧲
america GPE 1 📊 🔍 🧲
american NORP 1 📊 🔍 🧲
amtrak ORG 1 📊 🔍 🧲
andy kunz PERSON 1 📊 🔍 🧲
boston GPE 1 📊 🔍 🧲
brightline ORG 1 📊 🔍 🧲
california GPE 1 📊 🔍 🧲
china GPE 1 📊 🔍 🧲
cnn ORG 1 📊 🔍 🧲
europe LOC 1 📊 🔍 🧲
facebook tweet email link threads link copied WORK_OF_ART 1 📊 🔍 🧲
florida GPE 1 📊 🔍 🧲
fort lauderdale GPE 1 📊 🔍 🧲
france GPE 1 📊 🔍 🧲
hanford GPE 1 📊 🔍 🧲
hanford viaduct ORG 1 📊 🔍 🧲
japan GPE 1 📊 🔍 🧲
japanese NORP 1 📊 🔍 🧲
las vegas GPE 1 📊 🔍 🧲
los angeles GPE 1 📊 🔍 🧲
lou thompson PERSON 1 📊 🔍 🧲
miami GPE 1 📊 🔍 🧲
morocco GPE 1 📊 🔍 🧲
nextgen acela FAC 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
cnn.com 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Environment, Climate 0.3800 📊 🧲
Government 0.2900 📊 🧲
Technology 0.2600 📊 🧲
Business, Companies 0.0400 📊 🧲
Political Theatre 0.0200 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-10-04 10:30:46+00 Business cnn.com Why doesn’t high speed rail work in America? Analyze Chris Isidore 😐 neutral 0.1066