Extracting Intelligence from RSS News Feeds Using Python and AI : From Global Headlines to Actionable Intelligence
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| Autore: |
Hosmer Chet
|
| Titolo: |
Extracting Intelligence from RSS News Feeds Using Python and AI : From Global Headlines to Actionable Intelligence
|
| Pubblicazione: | Berkeley, CA : , : Apress L. P., , 2026 |
| ©2026 | |
| Edizione: | 1st ed. |
| Descrizione fisica: | 1 online resource (132 pages) |
| Nota di contenuto: | Extracting Intelligence from RSS News Feeds Using Python and AI -- Foreword -- Preface -- Introduction -- Acknowledgments -- Table of Contents -- About the Author -- About the Technical Reviewer -- 1. Understanding RSS Feed Formats -- 2. Accessing and Parsing RSS Feeds with Python -- 3. Processing RSS Data for AI Analysis -- 4. Text Extraction and Multilingual Processing -- 5. Extracting Actionable Intelligence: Name Entity Recognition -- 6. Sentiment and Threat Analysis in OSINT -- 7. Agentic AI for Multi-Feed Intelligence Processing -- 8. Real-World Applications and Case Studies -- 9. Future Agentic AI RSS Feed Analysis -- Appendix -- Index. |
| Sommario/riassunto: | In a world flooded with digital information, the ability to automatically extract meaningful and actionable insights from global news feeds is a critical skill.Extracting Actionable Information from RSS Feeds Using Python and AI offers a hands-on guide for leveraging Python and OpenAI to transform raw RSS content--both in English and non-English. |
| Titolo autorizzato: | Extracting Intelligence from RSS News Feeds Using Python and AI |
| ISBN: | 9798868827730 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911114148803321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Professional and Applied Computing Series