Textcraft with Python
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Home > Computing and Information Technology > Computer science > Mathematical theory of computation > Textcraft with Python: Harnessing Web Data for Sentiment and Language Processing
Textcraft with Python: Harnessing Web Data for Sentiment and Language Processing

Textcraft with Python: Harnessing Web Data for Sentiment and Language Processing


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About the Book

In a world overflowing with text-tweets, reviews, news articles, and online discussions-hidden patterns, sentiments, and insights shape the way people think, act, and decide. TextCraft with Python takes readers on an immersive, narrative-driven journey through the art and science of mining, scraping, and interpreting web data for powerful sentiment and natural language processing applications.
Blending engaging storytelling with hands-on technical knowledge, this book follows the fictional yet deeply relatable journey of Daniel, a data scientist navigating a fractured global landscape where governance systems are powered by AI. Across 21 detailed chapters, readers will learn practical Python workflows for extracting, cleaning, and analyzing text data-while exploring the ethical, political, and human challenges behind these technologies.
From the fundamentals of web scraping and text preprocessing to advanced NLP pipelines, sentiment detection, and AI-driven decision-making, TextCraft with Python offers both a gripping story and a complete technical foundation. Whether you are a researcher, developer, analyst, or simply curious about the intersection of data science and society, this book equips you with the skills-and the perspective-to work with language data responsibly and effectively.


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Product Details
  • ISBN-13: 9798298550970
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 330
  • Spine Width: 18 mm
  • Weight: 494 gr
  • ISBN-10: 8298550978
  • Publisher Date: 17 Aug 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Harnessing Web Data for Sentiment and Language Processing
  • Width: 152 mm


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Textcraft with Python: Harnessing Web Data for Sentiment and Language Processing
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