Text & Content Analysis

Context: entity (i)  |  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
i
Window
Last 7 days
Articles
2
From
2026-07-28 19:30:00+00
To
2026-07-29 16:43:40+00
Range
2026-07-22 20:49:24.379475+00 β†’ 2026-07-29 20:49:24.379475+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
facebook x reddit pinterest ORG 2 πŸ“Š πŸ” 🧲
future ORG 2 πŸ“Š πŸ” 🧲
get NORP 2 πŸ“Š πŸ” 🧲
google newsletter subscribe ORG 2 πŸ“Š πŸ” 🧲
i ORG 2 πŸ“Š πŸ” 🧲
j PERSON 2 πŸ“Š πŸ” 🧲
japan GPE 2 πŸ“Š πŸ” 🧲
laura mondragΓ³n PERSON 2 πŸ“Š πŸ” 🧲
live science ORG 2 πŸ“Š πŸ” 🧲
please ORG 2 πŸ“Š πŸ” 🧲
privacy policy PERSON 2 πŸ“Š πŸ” 🧲
aging loneliness ORG 1 πŸ“Š πŸ” 🧲
ai ORG 1 πŸ“Š πŸ” 🧲
alabama earthquakes magnitude LOC 1 πŸ“Š πŸ” 🧲
anderson PERSON 1 πŸ“Š πŸ” 🧲
animals land mammals primates monkeys ORG 1 πŸ“Š πŸ” 🧲
archaeology bow PERSON 1 πŸ“Š πŸ” 🧲
article sources li LAW 1 πŸ“Š πŸ” 🧲
article sources zushi LAW 1 πŸ“Š πŸ” 🧲
baboons PRODUCT 1 πŸ“Š πŸ” 🧲
bolivia GPE 1 πŸ“Š πŸ” 🧲
boni PERSON 1 πŸ“Š πŸ” 🧲
bonobos PERSON 1 πŸ“Š πŸ” 🧲
brainfactsorg ORG 1 πŸ“Š πŸ” 🧲
brandon PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
livescience.com 2 100.00 πŸ“Š πŸ“° 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 1.2500 πŸ“Š 🧲
Business, Companies 0.4600 πŸ“Š 🧲
Environment, Climate 0.1700 πŸ“Š 🧲
Friends and Family 0.1000 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
2026-07-29 16:43:40+00 Science livescience.com Monkeys have a basic intuition for geometry, study suggests Analyze Kenna Hughes-Castleberry 😐 neutral 0.1037
2026-07-28 19:30:00+00 Science livescience.com Scientists may have found a clue to prevent muscles from aging, study hints Analyze Zunnash Khan 😐 neutral 0.0875