Mining the Social Web pdf epub mobi txt 電子書 下載2025
Matthew Russell has completed nearly 50 publications on technology, including work that has appeared at scientific conferences and in Linux Journal and Make magazine. He is also the author of Dojo: The Definitive Guide (O’Reilly). Matthew is Vice President of Engineering at Digital Reasoning Systems and is Founder & Principal at Zaffra, a firm focused on agile web development.
- 數據挖掘
- 社會化網絡
- 數據分析
- sns
- Social
- Web
- O'Reilly
- 互聯網
Popular social networks such as Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data. Who's talking to whom? What are they talking about? How often are they talking? Where are they located? This concise and practical book shows you how to answer these types of questions and more. Each chapter presents a soup-to-nuts approach that combines popular social web data, analysis techniques, and visualization to help you find the needles in the social haystack you've been looking for -- and some you didn't know were there.
With Mining the Social Web, intermediate-to-advanced Python programmers will learn how to collect and analyze social data in way that lends itself to hacking as well as more industrial-strength analysis. The book is highly readable from cover to cover and tells a coherent story, but you can go straight to chapters of interest if you want to focus on a specific topic.
Get a concise and straightforward synopsis of the social web landscape so you know which 20% of the space to spend 80% of your time on
Use easily adaptable scripts hosted on GitHub to harvest data from popular social network APIs including Twitter, Facebook, and LinkedIn
Learn how to slice and dice social web data with easy-to-use Python tools, and apply more advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection
Build interactive visualizations with easily adaptable web technologies built upon HTML5 and JavaScript toolkits
This book is still in progress, but you can get going on this technology through our Rough Cuts edition, which lets you read the manuscript as it's being written, either online or via PDF.
via http://oreilly.com/catalog/9781449394844/
Amazon: http://www.amazon.com/Mining-Social-Web-Finding-Haystack/dp/1449388345/
具體描述
讀後感
如果你希望从这本书里边学到任何软件使用方法以外的东西，我觉得你会失望的。 因为从第七章开始才讲算法，还将得各种悲剧。直接看wikipedia都能理解得更快。 之前的章节都是各个社交网络API的介绍和工具使用介绍，还算行吧。 里边提到的工具目录里边基本都有，直接上官方站...
評分如果你希望从这本书里边学到任何软件使用方法以外的东西，我觉得你会失望的。 因为从第七章开始才讲算法，还将得各种悲剧。直接看wikipedia都能理解得更快。 之前的章节都是各个社交网络API的介绍和工具使用介绍，还算行吧。 里边提到的工具目录里边基本都有，直接上官方站...
評分原本是想学些数据分析的算法和思想，但是拿到这本书之后挺失望。看到第四章，全在讲如何使用twitter等社交网站的api。 只能当拓展知识面看看，了解下书里面讲到的开源工具。 另外，书的价格还不算便宜。
評分虽然使用的语言是python，而且分析的网站都是国内被禁的网站，但是读完这本书后，感到很受启发，其实如果你懂了这本书中的内容，分析其他社交网站也会得心应手，比如说像国内的sina微博，人家提供的API也很有价值啊，你读完这本书，收获会很大。
評分虽然使用的语言是python，而且分析的网站都是国内被禁的网站，但是读完这本书后，感到很受启发，其实如果你懂了这本书中的内容，分析其他社交网站也会得心应手，比如说像国内的sina微博，人家提供的API也很有价值啊，你读完这本书，收获会很大。
用戶評價
國內已有中文版。主要介紹如何獲取數據。
评分從對結構化、半結構化到無結構數據的分析和挖掘方法的介紹，雖然講的不是很深入、但是很有啓發。
评分從對結構化、半結構化到無結構數據的分析和挖掘方法的介紹，雖然講的不是很深入、但是很有啓發。
评分必須重讀
评分國內已有中文版。主要介紹如何獲取數據。
相關圖書
本站所有內容均為互聯網搜索引擎提供的公開搜索信息，本站不存儲任何數據與內容，任何內容與數據均與本站無關，如有需要請聯繫相關搜索引擎包括但不限於百度，google,bing,sogou 等
© 2025 qciss.net All Rights Reserved. 小哈圖書下載中心 版权所有