Gabor Szabo,Gungor Polatkan,P. Oscar Boykin,Antonios Chalkiopoulos
Social Media Data Mining and Analytics
Social Media Data Mining and Analytics
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- More about Social Media Data Mining and Analytics
Social media is the biggest source of Big Data, and 90% of Fortune 500 companies are investing in Big Data initiatives to predict consumer behavior and improve sales. Social Media Data Mining and Analytics provides hands-on examples for applying state-of-the-art tools and technologies to mine social media data, including Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. It also provides the competitive advantage organizations need to harness the rich data available from social media platforms.
\n Format: Paperback / softback
\n Length: 352 pages
\n Publication date: 30 November 2018
\n Publisher: John Wiley & Sons Inc
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Social media is a vast repository of Big Data, with 90% of Fortune 500 companies investing in initiatives to predict consumer behavior and enhance sales outcomes. This book offers practical examples of using advanced tools and technologies to mine social media data, encompassing platforms like Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and more. It delves into the four key characteristics of online services, the data discovery lifecycle, working with code, leveraging Big Data for accurate customer predictions, and personalizing the social media experience through machine learning. By employing these techniques, organizations can gain a competitive edge in harnessing the wealth of data available on social media platforms.
\n Weight: 482g\n
Dimension: 190 x 235 x 17 (mm)\n
ISBN-13: 9781118824856\n \n
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