Social media data mining and analytics /
Data mining and analytics
Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.
- xxxv, 316 pages : illustrations ; 24 cm
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
9781118824856 1118824857
2018956702
GBB504756 bnb GBB4D8268 bnb
016965752 Uk 017009624 Uk
Data mining--Social aspects. Consumer profiling--Data processing. Consumer behavior--Forecasting. Business planning--Data processing. Social media--Data processing. Data mining. Data mining--Social aspects. Business planning--Data processing. Consumer behavior--Forecasting. Data mining.