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
mit
Articles
9
From
2026-08-16 05:46:38+00
To
2026-09-09 10:30:00+00
Range
2026-08-15 20:38:53.245264+00 →
2026-09-14 20:38:53.245264+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| mit | ORG | 9 | 📊 🔍 🧲 |
| next | ORG | 3 | 📊 🔍 🧲 |
| one | CARDINAL | 3 | 📊 🔍 🧲 |
| covid19 | ORG | 2 | 📊 🔍 🧲 |
| harvard | ORG | 2 | 📊 🔍 🧲 |
| opens | ORG | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 189 million | MONEY | 1 | 📊 🔍 🧲 |
| 504 million | MONEY | 1 | 📊 🔍 🧲 |
| a good 10 years | DATE | 1 | 📊 🔍 🧲 |
| aarush mandala | PERSON | 1 | 📊 🔍 🧲 |
| abby abazorius email | PERSON | 1 | 📊 🔍 🧲 |
| abhishek deshmane | PERSON | 1 | 📊 🔍 🧲 |
| agnieszka grosso | PERSON | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| air canada | ORG | 1 | 📊 🔍 🧲 |
| alex viveros | PERSON | 1 | 📊 🔍 🧲 |
| alex viveros alex viveros | PERSON | 1 | 📊 🔍 🧲 |
| alex viveros town | PERSON | 1 | 📊 🔍 🧲 |
| alexander tuchkov | PERSON | 1 | 📊 🔍 🧲 |
| algorithms artificial | PERSON | 1 | 📊 🔍 🧲 |
| alta | ORG | 1 | 📊 🔍 🧲 |
| america | GPE | 1 | 📊 🔍 🧲 |
| american | NORP | 1 | 📊 🔍 🧲 |
| anantha chandrakasan | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Technology | 2.9300 | 📊 🧲 |
| Business, Companies | 2.1200 | 📊 🧲 |
| Government | 1.2500 | 📊 🧲 |
| Environment, Climate | 0.9100 | 📊 🧲 |
| Friends and Family | 0.7500 | 📊 🧲 |
| Food and Beverage | 0.4400 | 📊 🧲 |
| Entertainment | 0.2400 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1600 | 📊 🧲 |
| Other | 0.1500 | — |
Articles included
Top entities
Top sources
Top narrative frames