Social Media Data Mining and Analytics
Social Media Data Mining and Analytics by Gabor Szabo, published by John Wiley & Sons on October 23, 2018, is a comprehensive guide that explores the intersection of social media and data analytics. This 352-page book delves into how businesses can leverage social media as a significant source of Big Data to predict customer behavior and enhance sales outcomes. It presents sophisticated techniques for mining social media data, providing analysts with the tools necessary to generate impactful results for their organizations.
Readers will find practical examples and hands-on applications of advanced tools and technologies used to mine data from various social media platforms, including Twitter and Wikipedia. The book covers essential topics such as the characteristics of online services, the data discovery lifecycle, and the integration of machine learning to personalize social media experiences. By employing the strategies outlined, organizations can gain a competitive edge in utilizing the vast data available from social media to inform their business decisions.
Official synopsis Publisher
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 hands-on examples for applying state-of-the-art 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 services-users, social networks, actions, and content
- The full data discovery lifecycle-data 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 predictions
- How 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.
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