Social Media Data Mining and Analytics
John Wiley & Sons Inc (Hersteller)
978-1-119-18351-8 (ISBN)
- Keine Verlagsinformationen verfügbar
- Artikel merken
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.
GABOR SZABO, PHD, is a Senior Staff Software Engineer at Tesla and a former data scientist at Twitter, where he focused on predicting user behavior and content popularity in crowdsourced online services, and on modeling large-scale content dynamics. He also authored the PyCascading data processing library. GUNGOR POLATKAN, PHD, is a Tech Lead/Engineering Manager designing and implementing end-to-end machine learning and artificial intelligence offline/online pipelines for the LinkedIn Learning relevance backend. He was previously a machine learning scientist at Twitter, where he worked on topics such as ad targeting and user modeling. P. OSCAR BOYKIN, PHD, is a software engineer at Stripe where he works on machine learning infrastructure. He was previously a Senior Staff Engineer at Twitter, where he worked on data infrastructure problems. He is coauthor of the Scala big-data libraries Algebird, Scalding and Summingbird. ANTONIOS CHALKIOPOULOS, MSC, is a Distributed Systems Specialist. A system engineer who has delivered fast/big data projects in media, betting, and finance, he is now leading the effort on the Lenses platform for data streaming as a co-founder and CEO at https: //lenses.stream.
| Erscheint lt. Verlag | 21.9.2018 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 150 x 250 mm |
| Gewicht | 666 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| ISBN-10 | 1-119-18351-0 / 1119183510 |
| ISBN-13 | 978-1-119-18351-8 / 9781119183518 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
