00000cam a22000004i 4500 UP-8027390931312542638 Buklod 20210428133410.0 o--- | || || ta 210428s2019 xx d r |||| u| 9781118824856 1118824857 (iLib)UPCEB-00012051446 Ohio (emz) eng HF 5415.32 S93 2019 HF 5415.32 S93 2019 Szabo, Gabor. Social media data mining and analytics Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos. Data mining and analytics. Indianapolis, IN John Wiley & Sons c2019 xxxv, 316 pages illustrations 24 cm. Includes index. Prof. Carreon (Recommending faculty) - Bookfair 2019 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. Consumer profiling Data processing. Consumer behavior Forecasting. Business planning Data processing. Social media Data processing. Data mining. Polatkan, Gungor author. Boykin, Oscar author. Chalkiopoulos, Antonios author. FO UPCEB CEBU-LAHUG HF 5415.32 S93 2019 Book