Text & Content Analysis
This page analyzes how a selected entity or topic appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Corpus KPIs
Entity
incode technologies
Articles
1
From
2026-02-27 16:08:54+00
To
2026-02-27 16:08:54+00
Range
2026-01-28 21:44:44.548213+00 →
2026-02-27 21:44:44.548213+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 259 billion | MONEY | 1 | 📊 🔍 🧲 |
| 62 billion | MONEY | 1 | 📊 🔍 🧲 |
| a gen z | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| atlanta | GPE | 1 | 📊 🔍 🧲 |
| colgate | ORG | 1 | 📊 🔍 🧲 |
| colgatepalmolive | ORG | 1 | 📊 🔍 🧲 |
| dming | ORG | 1 | 📊 🔍 🧲 |
| fortune | EVENT | 1 | 📊 🔍 🧲 |
| gen z | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| gen z erg | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| gen zs | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| hinge | NORP | 1 | 📊 🔍 🧲 |
| incode technologies | ORG | 1 | 📊 🔍 🧲 |
| PERSON | 1 | 📊 🔍 🧲 | |
| massey | PERSON | 1 | 📊 🔍 🧲 |
| match group | ORG | 1 | 📊 🔍 🧲 |
| match groups | ORG | 1 | 📊 🔍 🧲 |
| matchcom | ORG | 1 | 📊 🔍 🧲 |
| may 1920 2026 | DATE | 1 | 📊 🔍 🧲 |
| navratil | GPE | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| philipp navratil | PERSON | 1 | 📊 🔍 🧲 |
| rascoff | PERSON | 1 | 📊 🔍 🧲 |
| ricardo amper | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top topics
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-02-27 16:08:54+00 | Business |
|
Match Group’s CEO set up an employee hotline where staff can DM him anytime—and one Gen Zer’s feedback even changed how he runs the business | Analyze | Emma Burleigh | 🙂 positive | 0.1571 |