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

By: Material type: TextTextPublisher: Indianapolis, IN : John Wiley & Sons, [2019]Copyright date: ©2019Description: xxxv, 316 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118824856
  • 1118824857
Other title:
  • Data mining and analytics
Subject(s): DDC classification:
  • 658.8340 SZA 2019 23
LOC classification:
  • HF5415.32 .S926 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 Call number Status Date due Barcode
Book Book Symbiosis International University, Dubai 658.8340 SZA 2019 (Browse shelf(Opens below)) Available SIU00356

Includes index.

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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