{"product_id":"9781118824856","title":"Social Media Data Mining and Analytics","description":"\u003ch1\u003eSocial Media Data Mining and Analytics\u003c\/h1\u003e\u003ch3\u003eGabor Szabo | Gungor Polatkan | P. Oscar Boykin | Antonios Chalkiopoulos\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Data Science \/ Data Warehousing\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cb\u003eHarness the power of social media to predict customer behavior and improve sales\u003c\/b\u003e \u003cp\u003eSocial 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. \u003ci\u003eSocial Media Data Mining and Analytics\u003c\/i\u003e shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSocial Media Data Mining and Analytics\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe four key characteristics of online services-users, social networks, actions, and content\u003c\/li\u003e \u003cli\u003eThe full data discovery lifecycle-data extraction, storage, analysis, and visualization\u003c\/li\u003e \u003cli\u003eHow to work with code and extract data to create solutions\u003c\/li\u003e \u003cli\u003eHow to use Big Data to make accurate customer predictions\u003c\/li\u003e \u003cli\u003eHow to personalize the social media experience using machine learning\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eUsing the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eGABOR SZABO, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eGUNGOR POLATKAN, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eP. OSCAR BOYKIN, P\u003csmall\u003eH\u003c\/small\u003eD,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eANTONIOS CHALKIOPOULOS, MSC,\u003c\/b\u003e 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. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e23 October 2018\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781118824856\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e352\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e16.8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44314240745612,"sku":"9781118824856","price":40.5,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781118824856.jpg?v=1780237907","url":"https:\/\/lateknightbooks.com\/products\/9781118824856","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}