<b>Harness the power of social media to predict customer behavior and improve sales</b><p>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. Written by Dr. Gabor Szabo, a Senior Data Scientist at Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter, <i>Social Media Data Mining and Analytics </i>shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses.<p><i>Social Media Data Mining and Analytics </i>isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, and other rich data sources. In it, you will learn:<ul><li>The four key characteristics of online services-users, social networks, actions, and content</li><li>The full data discovery lifecycle-data extraction, storage, analysis, and visualization</li><li>How to work with code and extract data to create solutions</li><li>How to use Big Data to make accurate customer predictions</li></ul><p>Szabo and Boykin wrote this book to provide businesses with the competitive advantage they need to harness the rich data that is available from social media platforms.