Text & Content Analysis

Context: entity (alicia halvensleben)  |  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
alicia halvensleben
Window
Last 30 days
Articles
1
From
2026-04-09 10:05:59+00
To
2026-04-09 10:05:59+00
Range
2026-03-19 07:47:34.910387+00 → 2026-04-18 07:47:34.910387+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
alicia halvensleben PERSON 1 📊 🔍 🧲
jim riccioli PERSON 1 📊 🔍 🧲
milwaukee GPE 1 📊 🔍 🧲
scott allen PERSON 1 📊 🔍 🧲
waukesha DATE 1 📊 🔍 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.5400 📊 🧲
Political Theatre 0.1700 📊 🧲
Technology 0.1100 📊 🧲
Environment, Climate 0.1000 📊 🧲
Civil Unrest, Conflict 0.0600 📊 🧲
How it feels

Sentiment

Label Articles Actions
☹️ Negative 1 📊 🧲

Articles included

Top entities
Top sources
Top narrative frames
Pub Date Category Domain Title Analyze Author Sent Score
2026-04-09 10:05:59+00 Politics jsonline.com Was Waukesha mayor's race partisan? Yes, its participants say Analyze , Journal Sentinel ☹️ negative -0.0833