Extracting intelligence from RSS news feeds using Python and AI : from global headlines to actionable intelligence /

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...

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Bibliographic Details
Main Author:	Hosmer, Chet (Author)
Format:	eBook
Language:	English
Published:	Berkeley, CA : Apress, 2026.
Series:	Professional and Applied Computing Series.
Subjects:	Natural language processing (Computer science) Data mining. Python (Computer program language) Artificial intelligence. Traitement automatique des langues naturelles. Python (Langage de programmation) Intelligence artificielle. Exploration de données (Informatique) artificial intelligence. Electronic books.

Table of Contents:

Chapter 1: Understanding RSS Feed Formats
Chapter 2: Accessing and Parsing RSS Feeds with Python
Chapter 3: Processing RSS Data for AI Analysis
Chapter 4: Text Extraction and Multilingual Processing
Chapter 5: Extracting Actionable Intelligence: Name Entity Recognition
Chapter 6: Sentiment and Threat Analysis in OSINT
Chapter 7: Agentic AI for Multi-Feed Intelligence Processing
Chapter 8: Real-World Applications and Case Studies
Chapter 9: Future Agentic AI RSS Feed Analysis.