AI Scribe: Automating Journalistic Reporting Tools
Format:
Kindle
En stock
0.76 kg
Sí
Nuevo
Amazon
USA
- Write faster, fact-check smarter, and see stories in your data.AI Scribe: Automating Journalistic Reporting Tools is a hands-on guide to building AI-powered assistants for modern journalism. Using accessible Python tools like Hugging Face Transformers, NLTK, Pandas, and Matplotlib, you’ll learn how to turn raw text and news feeds into working helpers that summarize, analyze, and visualize stories in Google Colab.Inside, you’ll discover how to:Build article summarization tools that condense long pieces into quick, accurate briefsCreate fact-checking helpers that support verification workflowsRun sentiment analysis on articles, quotes, and social reactionsUse topic modeling and news clustering to group and explore coverage at scaleGenerate AI-assisted content drafts for outlines, angles, and variationsVisualize coverage with topic and trend charts using MatplotlibAssess source credibility with machine learning modelsAnalyze news trends over time to spot emerging narrativesEach chapter walks through a specific newsroom task—data preparation, model building, training, and testing—with simple code snippets and example outputs such as “50-word summary,” “Fact verified,” “Positive tone,” or “Tech cluster.”Who this book is for: Reporters, editors, content creators, newsroom technologists, and indie publishers who want to integrate AI into their reporting workflows without needing a PhD in machine learning.What you’ll need: Basic Python skills, curiosity about data, and free tools like Google Colab—no expensive infrastructure required.Ethics first: You’ll also learn core principles for fairness, privacy, transparency, and regulatory compliance so that any AI-assisted workflow you build remains responsible and trustworthy.Turn deadlines into a data advantage—and let AI help you report more, faster, and with deeper insight.
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