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
microsoft
Articles
19
From
2026-02-27 01:33:26+00
To
2026-03-18 20:26:12+00
Range
2026-02-25 12:19:13.47813+00 →
2026-03-27 12:19:13.47813+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| microsoft | ORG | 19 | 📊 🔍 🧲 |
| ai | ORG | 13 | 📊 🔍 🧲 |
| u.s. | GPE | 13 | 📊 🔍 🧲 |
| fair value | PERSON | 10 | 📊 🔍 🧲 |
| highlights microsoft | PERSON | 10 | 📊 🔍 🧲 |
| simply wall st | WORK_OF_ART | 10 | 📊 🔍 🧲 |
| south american | NORP | 10 | 📊 🔍 🧲 |
| upward valuation amid growth and competitive risks fair value | WORK_OF_ART | 10 | 📊 🔍 🧲 |
| one | CARDINAL | 9 | 📊 🔍 🧲 |
| nyse | ORG | 8 | 📊 🔍 🧲 |
| stella ong alternatives | PERSON | 8 | 📊 🔍 🧲 |
| be | ORG | 7 | 📊 🔍 🧲 |
| track the fair value | WORK_OF_ART | 7 | 📊 🔍 🧲 |
| portfolios | ORG | 7 | 📊 🔍 🧲 |
| an analystconsensustarget on nvidia | WORK_OF_ART | 6 | 📊 🔍 🧲 |
| nvda | ORG | 6 | 📊 🔍 🧲 |
| popular narratives ka kabz2342 | ORG | 6 | 📊 🔍 🧲 |
| pro medicus | PRODUCT | 6 | 📊 🔍 🧲 |
| richard bowman three | PERSON | 6 | 📊 🔍 🧲 |
| trending discussion us user | ORG | 6 | 📊 🔍 🧲 |
| 72 billion | MONEY | 5 | 📊 🔍 🧲 |
| discovery fair value | PRODUCT | 5 | 📊 🔍 🧲 |
| eva live | LOC | 5 | 📊 🔍 🧲 |
| gold project | ORG | 5 | 📊 🔍 🧲 |
| pd pdixit1 | LOC | 5 | 📊 🔍 🧲 |
How the stories are being framed
Top Narrative Frames
| Frame | Weight | Actions |
|---|---|---|
| Government | 7.0600 | 📊 🧲 |
| Business, Companies | 6.4200 | 📊 🧲 |
| Technology | 3.0900 | 📊 🧲 |
| Environment, Climate | 0.7000 | 📊 🧲 |
| Political Theatre | 0.4800 | 📊 🧲 |
| Friends and Family | 0.4200 | 📊 🧲 |
| Health | 0.3900 | 📊 🧲 |
| Civil Unrest, Conflict | 0.3500 | 📊 🧲 |
| Other | 0.0800 | — |
Articles included
Top entities
Top sources
Top narrative frames