ISBN: 9798868827723 - extracting intelligence from rss news feeds using python and ai: from global headlines to actionable intelligence (13 resultados)

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Taschenbuch. Condición: Neu. Neuware -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 languages into 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:Author identificationDetailed, AI-generated summariesAssessment of global, political, and social relevanceDetection of potential threats or risksNamed entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligence at the speed of the global news cycle.What You ll Learn:Understand how to collect and process RSS feed data from both English and non-English sources using Python.Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Who This Book Is for:Primary Target Readers include:Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications. 167 pp. Englisch.…

Taschenbuch. Condición: Neu. Neuware -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:- Author identification- Detailed, AI-generated summaries- Assessment of global, political, and social relevance- Detection of potential threats or risks- Named entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.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:- Understand how to collect and process RSS feed data from both English and non-English sources using Python.- Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.- Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.- Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.- Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.…

Taschenbuch. Condición: Neu. Neuware - 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 languages into 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:Author identificationDetailed, AI-generated summariesAssessment of global, political, and social relevanceDetection of potential threats or risksNamed entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligence at the speed of the global news cycle.What You ll Learn:Understand how to collect and process RSS feed data from both English and non-English sources using Python.Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Who This Book Is for:Primary Target Readers include:Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications.…

Taschenbuch. Condición: Neu. Extracting Intelligence from RSS News Feeds Using Python and AI | From Global Headlines to Actionable Intelligence | Chet Hosmer | Taschenbuch | xxv | Englisch | 2026 | Apress | EAN 9798868827723 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Neuware -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:- Author identification- Detailed, AI-generated summaries- Assessment of global, political, and social relevance- Detection of potential threats or risks- Named entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.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:- Understand how to collect and process RSS feed data from both English and non-English sources using Python.- Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.- Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.- Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.- Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, Heidelberg 167 pp. Englisch.…

Taschenbuch. Condición: Neu. Neuware -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:- Author identification- Detailed, AI-generated summaries- Assessment of global, political, and social relevance- Detection of potential threats or risks- Named entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.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:- Understand how to collect and process RSS feed data from both English and non-English sources using Python.- Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.- Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.- Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.- Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools. 196 pp. Englisch.…

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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 languages into 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:Author identificationDetailed, AI-generated summariesAssessment of global, political, and social relevanceDetection of potential threats or risksNamed entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.Designed for developers, analysts, and technologists, this practical and forward-looking book bridges the gap between unstructured content and actionable intelligence at the speed of the global news cycle.What You ll Learn:Understand how to collect and process RSS feed data from both English and non-English sources using Python.Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Who This Book Is for:Primary Target Readers include:Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications. 167 pp. Englisch.…

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Paperback. Condición: new. Paperback. 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:Author identificationDetailed, AI-generated summariesAssessment of global, political, and social relevanceDetection of potential threats or risksNamed entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.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 Youll Learn:Understand how to collect and process RSS feed data from both English and non-English sources using Python.Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Who This Book Is for:Primary Target Readers include:Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condición: new. Paperback. 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:Author identificationDetailed, AI-generated summariesAssessment of global, political, and social relevanceDetection of potential threats or risksNamed entity recognition (people, places, organizations)Whether you're building real-time threat intelligence systems, media monitoring dashboards, or conducting geopolitical analysis, this book equips you with the tools and source code to accelerate your development. Each chapter includes fully functional Python scripts that can be immediately applied or extended to meet specific needs.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 Youll Learn:Understand how to collect and process RSS feed data from both English and non-English sources using Python.Apply OpenAI-powered natural language processing to extract key elements such as author, summary, relevance, and threat indicators from news articles.Perform named entity recognition (NER) to identify and extract people, places, and organizations mentioned in each article.Evaluate the geopolitical, social, and political relevance of news stories using AI-driven content analysis techniques.Utilize and customize the provided Python source code to build or enhance real-time content extraction and analysis tools.Who This Book Is for:Primary Target Readers include:Data Analysts and Intelligence Professionals: Professionals in government, cybersecurity, media monitoring, or corporate intelligence who need to extract and act on relevant news information in real time.Python Developers and AI Enthusiasts: Intermediate to advanced Python programmers looking to integrate AI for real-world content analysis, especially those interested in OpenAI and natural language processing.Journalists and Media Researchers: Those seeking to automate content curation, perform author attribution, or assess bias and relevance across diverse news sources globally.Academics and Students in Data Science, AI, or Digital Humanities: Educators and learners looking for applied projects in NLP, multilingual processing, and AI-driven analysis.Tech-Savvy Policy Makers and Think Tank Researchers: Readers who monitor emerging global narratives and want automated tools to help assess political, social, and security implications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…