Text & Content Analysis

Context: entity (ayesha awan)  |  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
ayesha awan
Window
Last 30 days
Articles
1
From
2026-05-25 00:07:00+00
To
2026-05-25 00:07:00+00
Range
2026-05-04 03:02:16.239998+00 β†’ 2026-06-03 03:02:16.239998+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
awan PERSON 1 πŸ“Š πŸ” 🧲
ayesha awan PERSON 1 πŸ“Š πŸ” 🧲
north carolina state university ORG 1 πŸ“Š πŸ” 🧲
phd WORK_OF_ART 1 πŸ“Š πŸ” 🧲
the food function ORG 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Food and Beverage 0.5700 πŸ“Š 🧲
Technology 0.4200 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
2026-05-25 00:07:00+00 Health nutritioninsight.com How microbes can boost protein content and health benefits in fermented foods Analyze Venya Patel 😐 neutral 0.0709