Mining The Social Web by Matthew A. Russell, is an invaluable guide which provides readers with an introduction to data mining and how to analyze the information from it.
Summary Of The Book
Mining The Social Web is a practical text which teaches users how to apply data mining techniques to the data collected from social networking sites such as LinkedIn, Facebook, and Twitter.
The text will instruct readers how to put together data collected from various social networking sites, how to analyze this data, and other useful tidbits of information. The data mining techniques that are outlined in this text will help readers answer questions such as who is trying to connect via social media, what is being talked about, and where is the user’s location.
Readers are required to have a basic knowledge in programming in order to grasp the techniques outlined in the book. Each chapter will show readers how to apply data mining techniques to different locations on the social web such as blogs, social rooms, and emails.
The text is divided into 10 chapters. Some of these chapter titles are Introduction To Hacking Data on Twitter, Microformats, Mailboxes, Twitter, LinkedIn: Clustering Your Professional Network for Fun, Google Buzz, Blogs, Facebook, and Semantic Web: A Cocktail Discussion. The topics covered in these chapters are Social Connections, Installing Python, Analyzing Mail Data, Analyzing Tweets, Visualizing Facebook Data, Buzzing on Bigrams, Clustering Networks, Sentence Detection, Entity-Centric Analysis, Data from Social Networks, and the NLP Pipeline.
Mining The Social Web was published in 2011 by O’Reilly.
About Matthew A. Russell
Matthew A. Russell is an author, data miner, and computer scientist, who hails from Franklin, Tennessee.
Some of these titles are Dojo Fundamentals: Creating Object-Oriented Widgets, 21 Recipes For Mining Twitter, Paypal APIs: Up and Running, Unleashing Twitter Data for Fun and Insight, and Dojo: The Definitive Guide.
Matthew has extensive experience working for both the government and private sectors and has provided complex software at a budget. He is currently the Chief Technology Officer with Digital Reasoning Systems and also Zaffra’s Principal. Some of his areas of expertise are computer science, open source, developing web applications, and programming.
Good book but context-less.
22 Dec, 2013
Good and hands on API and visualizing data. lot of fun in reading it.
20 Aug, 2012