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.
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| ai | ORG | 7 | π π π§² |
| u.s. | GPE | 3 | π π π§² |
| each year | DATE | 2 | π π π§² |
| GPE | 2 | π π π§² | |
| this year | DATE | 2 | π π π§² |
| 185 billion | MONEY | 1 | π π π§² |
| 25 billion | MONEY | 1 | π π π§² |
| 250 million | MONEY | 1 | π π π§² |
| 643 billion | MONEY | 1 | π π π§² |
| about 3000 | CARDINAL | 1 | π π π§² |
| addyi | ORG | 1 | π π π§² |
| adrien bouchet | PERSON | 1 | π π π§² |
| africa | LOC | 1 | π π π§² |
| agile | ORG | 1 | π π π§² |
| ai can do everything except this | WORK_OF_ART | 1 | π π π§² |
| ai pod | WORK_OF_ART | 1 | π π π§² |
| aipla | ORG | 1 | π π π§² |
| alibaba | GPE | 1 | π π π§² |
| alma mater can help with more than just networking | PERSON | 1 | π π π§² |
| ambry genetics | ORG | 1 | π π π§² |
| american | NORP | 1 | π π π§² |
| americans | NORP | 1 | π π π§² |
| americas | LOC | 1 | π π π§² |
| ann chaplin | PERSON | 1 | π π π§² |
| apple | ORG | 1 | π π π§² |
| Domain | Articles | % | Actions |
|---|---|---|---|
|
|
2 | 28.57 | π π° π§² |
|
|
1 | 14.29 | π π° π§² |
|
|
1 | 14.29 | π π° π§² |
|
|
1 | 14.29 | π π° π§² |
|
|
1 | 14.29 | π π° π§² |
|
|
1 | 14.29 | π π° π§² |
| Frame | Weight | Actions |
|---|---|---|
| Business, Companies | 2.4600 | π π§² |
| Government | 1.5300 | π π§² |
| Technology | 1.2500 | π π§² |
| Friends and Family | 0.8000 | π π§² |
| Environment, Climate | 0.4900 | π π§² |
| Health | 0.3000 | π π§² |
| Civil Unrest, Conflict | 0.0800 | π π§² |
| Political Theatre | 0.0600 | π π§² |
| Other | 0.0100 | β |