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Social media data mining and analytics / Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.

By: Contributor(s): Material type: TextTextDescription: xxxv, 316 pages : illustrations ; 24 cmISBN:
  • 9781118824856 (pbk.)
  • 1118824857
Subject(s): LOC classification:
  • HF5415.32 .S93 2019
Contents:
Users: the who of social media -- Networks: the how of social media -- Temporal processes -- The when of social media -- Content: the what of social media -- Processing large datasets -- Learn, map, and recommend -- Conclusions.
Summary: "Social media is a rich source of big data, so much so that 90% of Fortune 500 companies are investing in big data initiatives to help them predict consumer behavior. Knowing the most effective ways to mine social media data can help you acquire information that generates amazing business results. Social media is unstructured, dynamic, and future-oriented. Effective, insightful data mining requires new analytical tools and techniques. Written by experts at social networking companies, Social Media Data Mining and Analytics provides a hands-on course that teaches you how to use state-of-the-art tools and sophisticated data mining techniques specifically geared to social media. It digs deeply into the mechanics of collecting and applying social media data to understand customers, define trends, and make predictions that can improve analytics for growth and sales. "--Amazon.com
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Mang'u General Stacks Non-fiction HF5415.32 .S93 2019 (Browse shelf(Opens below)) C.1 Available Z009574
Books Books Zetech Library - TRC General Stacks Non-fiction HF5415.32 .S93 2019 (Browse shelf(Opens below)) C.2 Available Z010193

Includes index.

Users: the who of social media -- Networks: the how of social media -- Temporal processes -- The when of social media -- Content: the what of social media -- Processing large datasets -- Learn, map, and recommend -- Conclusions.

"Social media is a rich source of big data, so much so that 90% of Fortune 500 companies are investing in big data initiatives to help them predict consumer behavior. Knowing the most effective ways to mine social media data can help you acquire information that generates amazing business results. Social media is unstructured, dynamic, and future-oriented. Effective, insightful data mining requires new analytical tools and techniques. Written by experts at social networking companies, Social Media Data Mining and Analytics provides a hands-on course that teaches you how to use state-of-the-art tools and sophisticated data mining techniques specifically geared to social media. It digs deeply into the mechanics of collecting and applying social media data to understand customers, define trends, and make predictions that can improve analytics for growth and sales. "--Amazon.com

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