Text & Content Analysis

Context: entity (singh)  |  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
singh
Window
Last 30 days
Articles
1
From
2026-03-04 05:01:00+00
To
2026-03-04 05:01:00+00
Range
2026-02-10 15:05:19.930578+00 β†’ 2026-03-12 15:05:19.930578+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
alabama GPE 1 πŸ“Š πŸ” 🧲
anna vancleave PERSON 1 πŸ“Š πŸ” 🧲
associate ORG 1 πŸ“Š πŸ” 🧲
california GPE 1 πŸ“Š πŸ” 🧲
connecticut GPE 1 πŸ“Š πŸ” 🧲
ct ORG 1 πŸ“Š πŸ” 🧲
ct mirror ORG 1 πŸ“Š πŸ” 🧲
first ORDINAL 1 πŸ“Š πŸ” 🧲
michigan GPE 1 πŸ“Š πŸ” 🧲
miller ORG 1 πŸ“Š πŸ” 🧲
more than a decade ago DATE 1 πŸ“Š πŸ” 🧲
pennsylvania GPE 1 πŸ“Š πŸ” 🧲
reentry after a life behind bars a participatory WORK_OF_ART 1 πŸ“Š πŸ” 🧲
second ORDINAL 1 πŸ“Š πŸ” 🧲
seventyfive percent PERCENT 1 πŸ“Š πŸ” 🧲
seventythree percent PERCENT 1 πŸ“Š πŸ” 🧲
singh GPE 1 πŸ“Š πŸ” 🧲
social security ORG 1 πŸ“Š πŸ” 🧲
sukhmani singh PERSON 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Government 0.4500 πŸ“Š 🧲
Friends and Family 0.3100 πŸ“Š 🧲
Technology 0.2300 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
2026-03-04 05:01:00+00 Science ctmirror.org CT’s chance to align juvenile sentencing with science Analyze Sukhmani Singh andΒ Anna VanCleave 😐 neutral 0.0553