Text & Content Analysis

Context: entity (wang)  |  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
wang
Window
Last 24h
Articles
1
From
2026-04-16 21:17:47+00
To
2026-04-16 21:17:47+00
Range
2026-04-16 14:15:12.857243+00 β†’ 2026-04-17 14:15:12.857243+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 πŸ“Š πŸ” 🧲
andriy onufriyenko biological PERSON 1 πŸ“Š πŸ” 🧲
andriy onufriyenko text PERSON 1 πŸ“Š πŸ” 🧲
ars technicas PERSON 1 πŸ“Š πŸ” 🧲
columbia university ORG 1 πŸ“Š πŸ” 🧲
gpt ORG 1 πŸ“Š πŸ” 🧲
john PERSON 1 πŸ“Š πŸ” 🧲
john timmer PERSON 1 πŸ“Š πŸ” 🧲
john timmer senior PERSON 1 πŸ“Š πŸ” 🧲
learn more minimize to nav on WORK_OF_ART 1 πŸ“Š πŸ” 🧲
life sciences research plugin ORG 1 πŸ“Š πŸ” 🧲
llm ORG 1 πŸ“Š πŸ” 🧲
llm gptrosalind ORG 1 πŸ“Š πŸ” 🧲
one CARDINAL 1 πŸ“Š πŸ” 🧲
openai GPE 1 πŸ“Š πŸ” 🧲
openais life sciences product lead ORG 1 πŸ“Š πŸ” 🧲
phd in molecular and cell biology WORK_OF_ART 1 πŸ“Š πŸ” 🧲
rosalind franklin PERSON 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
wang ORG 1 πŸ“Š πŸ” 🧲
yunyun wang PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Technology 0.6900 πŸ“Š 🧲
Business, Companies 0.2300 πŸ“Š 🧲
Government 0.0500 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
2026-04-16 21:17:47+00 Science arstechnica.com OpenAI starts offering a biology-tuned LLM Analyze John Timmer 😐 neutral 0.0592