Social Media Data Mining and Analytics

Gabor Szabo, Gungor Polatkan, P. Oscar Boykin, Antonios Chalkiopoulos

  • 出版商: Wiley
  • 出版日期: 2018-10-23
  • 定價: $1,450
  • 售價: 9.5$1,378
  • 語言: 英文
  • 頁數: 352
  • 裝訂: Paperback
  • ISBN: 1118824857
  • ISBN-13: 9781118824856
  • 相關分類: Data-mining
  • 相關翻譯: 社交媒體數據挖掘與分析 (簡中版)
  • 立即出貨 (庫存=1)

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商品描述

Harness the power of social media to predict customer behaviorand improve sales

Social media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data Scientistat Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter,Social Media Data Mining and Analytics shows analysts how touse sophisticated techniques to mine social media data, obtainingthe information they need to generate amazing results for theirbusinesses.

Social Media Data Mining and Analytics isn't just anotherbook on the business case for social media. Rather, this bookprovides hands-on examples for applying state-of-the-art tools andtechnologies to mine social media - examples include Twitter,Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, andother rich data sources. In it, you will learn:

  • The four key characteristics of online services-users, socialnetworks, 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

Szabo and Boykin wrote this book to provide businesses with thecompetitive advantage they need to harness the rich data that isavailable from social media platforms.

商品描述(中文翻譯)

利用社交媒體的力量來預測客戶行為並提升銷售

社交媒體是最大的大數據來源。因此,90%的財富500強企業正在投資大數據項目,以幫助他們預測消費者行為,從而產生更好的銷售結果。《社交媒體數據挖掘與分析》一書由Twitter的高級數據科學家Gabor Szabo博士和軟件工程師Oscar Boykin博士合著,向分析師展示如何使用先進的技術挖掘社交媒體數據,獲取他們需要的信息,為他們的企業產生驚人的結果。

《社交媒體數據挖掘與分析》不僅僅是一本關於社交媒體商業案例的書籍。相反,這本書提供了實際應用最先進的工具和技術來挖掘社交媒體數據的實例,包括Twitter、Facebook、Pinterest、Wikipedia、Reddit、Flickr、網頁超鏈接和其他豐富的數據來源。在這本書中,您將學到:

- 在線服務的四個關鍵特徵:用戶、社交網絡、行為和內容
- 完整的數據發現生命周期:數據提取、存儲、分析和可視化
- 如何使用代碼提取數據並創建解決方案
- 如何利用大數據進行準確的客戶預測

Szabo和Boykin撰寫這本書是為了為企業提供他們需要的競爭優勢,以利用社交媒體平台提供的豐富數據。