scope:

"Harness the power of social media to predict customer behavior and improve sales

Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses.Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides handson examples for applying stateoftheart tools and technologies to mine social media examples include Twitter, Wikipedia, Stack Exchange, LiveJournal, movie reviews, and other rich data sources. In it, you will learn:

The four key characteristics of online servicesusers, social networks, actions, and content

The full data discovery lifecycledata extraction, storage, analysis, and visualization

How to work with code and extract data to create solutions

How to use Big Data to make accurate customer predictionsHow to personalize the social media experience using machine learning

Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms."

Authors: Gabor Szabo, Gungor Polatkan, P. Oscar Boykin, Antonios Chalkiopoulos