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Web Data Mining with Python : Discover and Extract Information from the Web using Python / Ranjana Rajnish & Meenakshi Srivastava.

By: Contributor(s): Material type: TextTextNew Delhi : BPB Publications, 2023Edition: First editionDescription: 304 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789355513632
Subject(s): DDC classification:
  • 23 005.7 r.r.w.
Contents:
Web Mining—An Introduction; Web Mining Taxonomy; Prominent Applications with Web Mining; Python Fundamentals; Web Scraping; Web Opinion Mining; Web Structure Mining; Social Network Analysis in Python; Web Usage Mining.
Summary: A comprehensive guide for aspiring data scientists and programmers on extracting, analyzing, and interpreting web data using Python. The book covers web scraping, opinion mining, graph mining, sentiment analysis with hands‑on examples using open‑source libraries. Ideal for technical learners aiming to apply data mining in real‑world scenarios. ([turn0search0]turn0search8]turn0search14)
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library B3 005.7 r.r.w C.1 Available MA0002259
Total holds: 0

Includes bibliographical references.

Web Mining—An Introduction; Web Mining Taxonomy; Prominent Applications with Web Mining; Python Fundamentals; Web Scraping; Web Opinion Mining; Web Structure Mining; Social Network Analysis in Python; Web Usage Mining.

A comprehensive guide for aspiring data scientists and programmers on extracting, analyzing, and interpreting web data using Python. The book covers web scraping, opinion mining, graph mining, sentiment analysis with hands‑on examples using open‑source libraries. Ideal for technical learners aiming to apply data mining in real‑world scenarios. ([turn0search0]turn0search8]turn0search14)

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