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
ibm
Articles
7
From
2026-04-24 20:23:30+00
To
2026-05-21 22:08:06+00
Range
2026-04-23 22:30:12.017535+00 →
2026-05-23 22:30:12.017535+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ibm | ORG | 7 | 📊 🔍 🧲 |
| 1 billion | MONEY | 2 | 📊 🔍 🧲 |
| albany | GPE | 2 | 📊 🔍 🧲 |
| amazon | ORG | 2 | 📊 🔍 🧲 |
| american | NORP | 2 | 📊 🔍 🧲 |
| donald trump | PERSON | 2 | 📊 🔍 🧲 |
| gupta | PERSON | 2 | 📊 🔍 🧲 |
| new york citys | GPE | 2 | 📊 🔍 🧲 |
| nyc | LOC | 2 | 📊 🔍 🧲 |
| phd | WORK_OF_ART | 2 | 📊 🔍 🧲 |
| u.s. | GPE | 2 | 📊 🔍 🧲 |
| 100 million | MONEY | 1 | 📊 🔍 🧲 |
| 135 billion | MONEY | 1 | 📊 🔍 🧲 |
| 17 million | MONEY | 1 | 📊 🔍 🧲 |
| 2 billion | MONEY | 1 | 📊 🔍 🧲 |
| 30 million | MONEY | 1 | 📊 🔍 🧲 |
| 375 million | MONEY | 1 | 📊 🔍 🧲 |
| 38 million | MONEY | 1 | 📊 🔍 🧲 |
| 48 billion | MONEY | 1 | 📊 🔍 🧲 |
| 530 million | MONEY | 1 | 📊 🔍 🧲 |
| 56 billion | MONEY | 1 | 📊 🔍 🧲 |
| academy | ORG | 1 | 📊 🔍 🧲 |
| academy board | ORG | 1 | 📊 🔍 🧲 |
| academy board members | ORG | 1 | 📊 🔍 🧲 |
| address register | PERSON | 1 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 2.6800 | 📊 🧲 |
| Business, Companies | 1.7000 | 📊 🧲 |
| Friends and Family | 0.9100 | 📊 🧲 |
| Technology | 0.8900 | 📊 🧲 |
| Environment, Climate | 0.5600 | 📊 🧲 |
| Civil Unrest, Conflict | 0.1000 | 📊 🧲 |
| Entertainment | 0.0600 | 📊 🧲 |
| Food and Beverage | 0.0300 | 📊 🧲 |
| Other | 0.0500 | — |
Articles included
Top entities
Top sources
Top narrative frames