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
2026-04-10 17:29:47+00
To
2026-04-22 15:53:19+00
Range
2026-04-03 21:46:58.644123+00 →
2026-05-03 21:46:58.644123+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| purpose | ORG | 2 | 📊 🔍 🧲 |
| 150000 leading | MONEY | 1 | 📊 🔍 🧲 |
| 222000 | MONEY | 1 | 📊 🔍 🧲 |
| academic data science | ORG | 1 | 📊 🔍 🧲 |
| academics outcomes business | ORG | 1 | 📊 🔍 🧲 |
| ai | 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 | 📊 🔍 🧲 |
| algorithms | PERSON | 1 | 📊 🔍 🧲 |
| applied artificial intelligence | ORG | 1 | 📊 🔍 🧲 |
| applied scientist range | ORG | 1 | 📊 🔍 🧲 |
| artificial intelligence | ORG | 1 | 📊 🔍 🧲 |
| aspire | ORG | 1 | 📊 🔍 🧲 |
| automates | LOC | 1 | 📊 🔍 🧲 |
| business week | ORG | 1 | 📊 🔍 🧲 |
| career changer considerations professionals | ORG | 1 | 📊 🔍 🧲 |
| cocacola consolidated | ORG | 1 | 📊 🔍 🧲 |
| collaboration frequent | ORG | 1 | 📊 🔍 🧲 |
| core skills | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 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 |
| 2026-04-10 17:29:47+00 | Business |
|
Business Week participants consider the cost of ‘doing business’ - News | Analyze | Billy Liggett | 😐 neutral | 0.094 |