Social media data mining and analytics / Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos
データ種別 | 電子ブック |
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出版者 | (Indianapolis, IN : John Wiley & Sons) |
出版年 | [2019] |
大きさ | 1 online resource (xxxv, 316 pages) : illustrations (some color) |
著者標目 | *Szab�o, G�abor author Polatkan, Gungor author Boykin, Oscar author Chalkiopoulos, Antonios author |
書誌詳細を非表示
一般注記 | Includes index 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, Live Journal, 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 Harness the power of social media to predict customer behavior and improve sales. Social media is the biggest source of Big Data. This book shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses Online resource; title from digital title page (viewed on October 08, 2018) Introduction -- Ch. 1. Users : the who of social media -- Ch. 2. Networks : the how of social media -- Ch. 3. Temporal processes : the when of social media -- Ch. 4. Content : the what of social media -- Ch. 5. Processing large datasets -- Ch. 6. Learn, map, and recommend -- Ch. 7. Conclusions John Wiley and Sons Wiley Online Library: Complete oBooks HTTP:URL=https://onlinelibrary.wiley.com/doi/book/10.1002/9781119183518 |
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件 名 | LCSH:Data mining -- Social aspects
全ての件名で検索
LCSH:Consumer profiling -- Data processing 全ての件名で検索 LCSH:Consumer behavior -- Forecasting 全ての件名で検索 LCSH:Business planning -- Data processing 全ての件名で検索 LCSH:Social media -- Data processing 全ての件名で検索 LCSH:Data mining MESH:Data Mining CSHF:Exploration de donn�ees (Informatique) -- Aspect social 全ての件名で検索 CSHF:Profil des consommateurs -- Informatique 全ての件名で検索 CSHF:Consommateurs -- Comportement -- Pr�evision 全ての件名で検索 CSHF:M�edias sociaux -- Informatique 全ての件名で検索 CSHF:Exploration de donn�ees (Informatique) FREE:BUSINESS & ECONOMICS -- Industrial Management 全ての件名で検索 FREE:BUSINESS & ECONOMICS -- Management 全ての件名で検索 FREE:BUSINESS & ECONOMICS -- Management Science 全ての件名で検索 FREE:BUSINESS & ECONOMICS -- Organizational Behavior 全ての件名で検索 FREE:Data mining -- Social aspects 全ての件名で検索 FREE:Business planning -- Data processing 全ての件名で検索 FREE:Consumer behavior -- Forecasting 全ての件名で検索 FREE:Data mining |
分 類 | LCC:HF5415.32 DC23:658.8/3402856312 |
書誌ID | EB00004498 |
ISBN | 9781118824900 |
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