Text & Content Analysis

Context: entity (nina miolane)  |  Window: 24h · 7d · 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.

Explore by Category
Politics Sports Business Technology Science Health Entertainment

Corpus KPIs

Entity
nina miolane
Window
Last 30 days
Articles
1
From
2026-03-16 04:00:33+00
To
2026-03-16 04:00:33+00
Range
2026-02-24 19:05:32.192043+00 → 2026-03-26 19:05:32.192043+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
ai ORG 1 📊 🔍 🧲
ai core ORG 1 📊 🔍 🧲
last year DATE 1 📊 🔍 🧲
laura pritschet PERSON 1 📊 🔍 🧲
nina miolane PERSON 1 📊 🔍 🧲
only about 30 percent PERCENT 1 📊 🔍 🧲
phd WORK_OF_ART 1 📊 🔍 🧲
women in data science ORG 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

Domain Articles % Actions
thetransmitter.org 1 100.00 📊 📰 🧲
How the stories are being framed

Top Narrative Frames

Frame Weight Actions
Technology 0.5600 📊 🧲
Health 0.1500 📊 🧲
Business, Companies 0.1400 📊 🧲
Friends and Family 0.1400 📊 🧲
Government 0.0100 📊 🧲
How it feels

Sentiment

Label Articles Actions
😐 Neutral 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-03-16 04:00:33+00 Health thetransmitter.org Large-scale neuroimaging datasets often lack information specific to women’s health, constraining AI’s analysis potential Analyze Amy Kuceyeski 😐 neutral 0.1242