Text & Content Analysis

Context: entity (train)  |  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
train
Window
Last 30 days
Articles
2
From
2026-04-22 15:53:19+00
To
2026-05-01 16:45:00+00
Range
2026-04-03 10:37:24.754349+00 β†’ 2026-05-03 10:37:24.754349+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
one CARDINAL 2 πŸ“Š πŸ” 🧲
train GPE 2 πŸ“Š πŸ” 🧲
150000 leading MONEY 1 πŸ“Š πŸ” 🧲
222000 MONEY 1 πŸ“Š πŸ” 🧲
academic data science ORG 1 πŸ“Š πŸ” 🧲
aeg ORG 1 πŸ“Š πŸ” 🧲
african american male wellness walk ORG 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
ai architect ORG 1 πŸ“Š πŸ” 🧲
ai career PERSON 1 πŸ“Š πŸ” 🧲
ai degrees WORK_OF_ART 1 πŸ“Š πŸ” 🧲
ai engineer ORG 1 πŸ“Š πŸ” 🧲
ai ethics ORG 1 πŸ“Š πŸ” 🧲
ai internship ORG 1 πŸ“Š πŸ” 🧲
ai solutions ORG 1 πŸ“Š πŸ” 🧲
ai systems address ORG 1 πŸ“Š πŸ” 🧲
algorithms PERSON 1 πŸ“Š πŸ” 🧲
alice cooper PERSON 1 πŸ“Š πŸ” 🧲
amp PERSON 1 πŸ“Š πŸ” 🧲
applied artificial intelligence ORG 1 πŸ“Š πŸ” 🧲
applied scientist range ORG 1 πŸ“Š πŸ” 🧲
artificial intelligence ORG 1 πŸ“Š πŸ” 🧲
aspire ORG 1 πŸ“Š πŸ” 🧲
automates LOC 1 πŸ“Š πŸ” 🧲
bert kreischer PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
businessjournaldaily.com 1 50.00 πŸ“Š πŸ“° 🧲
pace.edu 1 50.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.4400 πŸ“Š 🧲
Government 0.4000 πŸ“Š 🧲
Business, Companies 0.3600 πŸ“Š 🧲
Friends and Family 0.2500 πŸ“Š 🧲
Environment, Climate 0.2200 πŸ“Š 🧲
Entertainment 0.1600 πŸ“Š 🧲
Civil Unrest, Conflict 0.1500 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
2026-05-01 16:45:00+00 Entertainment businessjournaldaily.com After a Down Year at Entertainment Venues, JAC Expects Improvement Analyze Guy D'Astolfo 😐 neutral 0.0544
2026-04-22 15:53:19+00 Science pace.edu Data Science vs. Artificial Intelligence: Everything You Need to Know Analyze Pace University New York 😐 neutral 0.079