Text & Content Analysis
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
Corpus KPIs
Entity
purpose
Articles
2
From
2026-04-22 15:53:19+00
To
2026-05-13 15:30:00+00
Range
2026-04-21 04:35:19.185454+00 →
2026-05-21 04:35:19.185454+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 2 | 📊 🔍 🧲 |
| new york | GPE | 2 | 📊 🔍 🧲 |
| one | CARDINAL | 2 | 📊 🔍 🧲 |
| purpose | ORG | 2 | 📊 🔍 🧲 |
| 150000 leading | MONEY | 1 | 📊 🔍 🧲 |
| 175 billion | MONEY | 1 | 📊 🔍 🧲 |
| 222000 | MONEY | 1 | 📊 🔍 🧲 |
| 400 million | MONEY | 1 | 📊 🔍 🧲 |
| 5 million | MONEY | 1 | 📊 🔍 🧲 |
| 900 million | MONEY | 1 | 📊 🔍 🧲 |
| abbott elementary | PERSON | 1 | 📊 🔍 🧲 |
| academic data science | ORG | 1 | 📊 🔍 🧲 |
| ai architect | ORG | 1 | 📊 🔍 🧲 |
| ai career | PERSON | 1 | 📊 🔍 🧲 |
| ai degrees | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| ai engineer | ORG | 1 | 📊 🔍 🧲 |
| ai ethics | ORG | 1 | 📊 🔍 🧲 |
| ai internship | ORG | 1 | 📊 🔍 🧲 |
| ai solutions | ORG | 1 | 📊 🔍 🧲 |
| ai systems address | ORG | 1 | 📊 🔍 🧲 |
| alex honnold | PERSON | 1 | 📊 🔍 🧲 |
| alexandra shapiro | PERSON | 1 | 📊 🔍 🧲 |
| alexandra shapiro courtesy | PERSON | 1 | 📊 🔍 🧲 |
| alexandria stapleton | PERSON | 1 | 📊 🔍 🧲 |
| alexia bedat | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-05-13 15:30:00+00 | Entertainment |
|
New York’s Most Powerful Entertainment Attorneys 2026 | Analyze | Claudia Rosenbaum | 😐 neutral | 0.1483 |
| 2026-04-22 15:53:19+00 | Science |
|
Data Science vs. Artificial Intelligence: Everything You Need to Know | Analyze | Pace University New York | 😐 neutral | 0.079 |