Text & Content Analysis

Context: entity (zhangling chen)  |  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
zhangling chen
Window
Last 30 days
Articles
2
From
2026-03-21 19:10:59+00
To
2026-03-29 06:00:00+00
Range
2026-02-27 13:46:28.473102+00 β†’ 2026-03-29 13:46:28.473102+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
uk GPE 2 πŸ“Š πŸ” 🧲
zhangling chen PERSON 2 πŸ“Š πŸ” 🧲
american NORP 1 πŸ“Š πŸ” 🧲
americans NORP 1 πŸ“Š πŸ” 🧲
amy duggar PERSON 1 πŸ“Š πŸ” 🧲
ashley fike PERSON 1 πŸ“Š πŸ” 🧲
ashley fike illustration PERSON 1 πŸ“Š πŸ” 🧲
ashley fike photo PERSON 1 πŸ“Š πŸ” 🧲
barry keoghan PERSON 1 πŸ“Š πŸ” 🧲
biobank ORG 1 πŸ“Š πŸ” 🧲
caleb catlin PERSON 1 πŸ“Š πŸ” 🧲
can also save you a lot of bad dates WORK_OF_ART 1 πŸ“Š πŸ” 🧲
cbs news ORG 1 πŸ“Š πŸ” 🧲
cdc ORG 1 πŸ“Š πŸ” 🧲
central south university ORG 1 πŸ“Š πŸ” 🧲
chen PERSON 1 πŸ“Š πŸ” 🧲
china GPE 1 πŸ“Š πŸ” 🧲
decider chuck norris PERSON 1 πŸ“Š πŸ” 🧲
discover make us preferred ORG 1 πŸ“Š πŸ” 🧲
dominique charriauwireimage ORG 1 πŸ“Š πŸ” 🧲
elix yang time PERSON 1 πŸ“Š πŸ” 🧲
elon musks PERSON 1 πŸ“Š πŸ” 🧲
facebook share WORK_OF_ART 1 πŸ“Š πŸ” 🧲
fbi ORG 1 πŸ“Š πŸ” 🧲
follow us PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.8400 πŸ“Š 🧲
Food and Beverage 0.4600 πŸ“Š 🧲
Business, Companies 0.3700 πŸ“Š 🧲
Government 0.2200 πŸ“Š 🧲
Health 0.0700 πŸ“Š 🧲
Entertainment 0.0300 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
2026-03-29 06:00:00+00 Health vice.com Do the Health Risks of Drinking Alcohol Change With the Type of Booze? (One Drink Hits Different) Analyze Ashley Fike 😐 neutral 0.0159
2026-03-21 19:10:59+00 Health nypost.com The perfect amount of wine to drink to lower your risk of dying from heart disease by 21% Analyze McKenzie Beard 😐 neutral 0.1457