Document Auto Tags
Document Information
Title: GSK plc Special Call on HIV Business
Source: https://storage.googleapis.com/polarys-documents/uploads/777260a0-2b19-4b41-a3c1-37a8a6da460f.pdf
Content Type: application/pdf
Word Count: 10559
Applied Auto Tags
| Auto Tag | Description | Extracted Value | Confidence | Applied | Actions |
|---|---|---|---|---|---|
| Company | No description | GSK |
|
2025-08-24T16:39:35.487000 | |
| Executives | No description | David Redfern Deborah Waterhouse Kimberly Smith |
|
2025-08-24T16:39:35.036000 | |
| Communication Type | No description | Presentation |
|
2025-08-24T16:39:35.988000 | |
| Executives | No description | David Redfern Deborah Waterhouse Kimberly Smith |
|
2025-08-24T16:39:33.690000 | |
| Company | No description | GSK |
|
2025-08-24T16:39:34.156000 | |
| Communication Type | No description | Presentation |
|
2025-08-24T16:39:34.580000 |
About Auto Tags
Automatic Extraction
Auto tags use AI to automatically extract specific information from this document based on predefined rules.
Re-apply Tags
You can re-apply auto tags to get updated extractions if the auto tag rules have been modified.
Remove Tags
Remove individual auto tags or use "Remove All Tags" to bulk remove all applied tags at once.