

Beschreibung
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 l...
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 contentboth in English and non-English languagesinto structured, insightful data.
This book walks readers through building intelligent pipelines that go beyond simple feed parsing. Using advanced natural language processing and AI techniques, readers will learn how to extract vital elements from each news article, including:
Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligenceat the speed of the global news cycle.
What You'll Learn:
Primary Target Readers include:
Apply cutting-edge AI to automate summarization, threat detection, and entity extraction from global news feeds Ready-to-use Python code from raw RSS ingestion to structured, actionable intelligenceincluding multilingual support Extract meaningful insights from both English and non-English news sources, expanding reach and applicability
Autorentext
Chet Hosmer is the founder of Python Forensics, a Non-Profit Organization that provides research and python scripts to help with advanced investigative challenges. Chet also serves as a Designated Campus Colleague at the University of Arizona.
Chet has made numerous appearances to discuss emerging cyber threats including NPR, ABC News, Forbes, IEEE, The New York Times, The Washington Post, Government Computer News, Salon.com and Wired Magazine. He has seven published books with Apress and Elsevier that focus on Python Forensics, data hiding, passive network defense strategies, PowerShell, and IoT. In addition, Chet presents at major conferences each year including RSA, TechnoSecurity, HTCIA, Blackhat, and DEFCON.
Inhalt
Chapter 1: Understanding RSS Feed Formats.- Chapter 2: Accessing and Parsing RSS Feeds with Python.- Chapter 3: Preprocessing RSS Data for AI Analysis.- Chapter 4: Text Extraction and Multilingual Processing.- Chapter 5: Named Entity Recognition and Topic Modeling.- Chapter 6: Sentiment and Relevance Analysis.- Chapter 7: Creating Effective AI Prompts for Analysis.- Chapter 8: Real-World Applications and Case Studies.- Chapter 9: Challenges and the Future of RSS Feed Analysis.