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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]Publisher: ©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): LOC classification:
  • HF  5415.32 S63 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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Item type Current library Collection Shelving location Call number Status Date due Barcode
Book Book TUP Manila Library NFIC General Circulation Section-GF HF 5415.32 S63 2019 (Browse shelf(Opens below)) Available P00033731
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HF 5415.1265 W35 2018 The essentials of digital marketing / HF 5415.13 M37 2019 Marketing management / HF 5415.3 C66 2018 Consumer behavior / HF 5415.32 S63 2019 Social media data mining and analytics / HF 5415.5 C76 2015 CRM Automation / HF 5548.8 L36 2019 Human relations : strategies for success / HF 5549 G73 2001 Strategic human resource management /

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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