Text & Content Analysis

Context: entity (boris becker)  |  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
boris becker
Window
Last 30 days
Articles
1
From
2026-09-14 01:30:23+00
To
2026-09-14 01:30:23+00
Range
2026-08-15 17:07:17.868735+00 β†’ 2026-09-14 17:07:17.868735+00
Who’s being talked about

Top Entities

Entity Label Mentions Actions
alexander zverev PERSON 1 πŸ“Š πŸ” 🧲
boris becker PERSON 1 πŸ“Š πŸ” 🧲
german NORP 1 πŸ“Š πŸ” 🧲
paul battison bbc sport PERSON 1 πŸ“Š πŸ” 🧲
phil cartwright bbc sport PERSON 1 πŸ“Š πŸ” 🧲
u.s. GPE 1 πŸ“Š πŸ” 🧲
zverev ORG 1 πŸ“Š πŸ” 🧲
Who’s talking

Top Sources (Domains)

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

Top Narrative Frames

Frame Weight Actions
Business, Companies 0.8400 πŸ“Š 🧲
Food and Beverage 0.1200 πŸ“Š 🧲
Government 0.0300 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
2026-09-14 01:30:23+00 Sports sports.yahoo.com Zverev turns US Open tears into triumph Analyze Paul Battison - BBC Sport Journalist; Phil Cartwright - BBC Sport journalist 😐 neutral 0.1143