• Mining the Social Web: Unlocking the Data within Facebook, Twitter and Other Sites See large image

    Mining the Social Web: Unlocking the Data within Facebook, Twitter and Other Sites (Paperback) By (author) Matthew A. Russell


    Sorry we can't get this title, the button below links through to AbeBooks who may have this title (opens in new window).

    Try AbeBooks | Add to wishlist

    DescriptionFacebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data, but how can you find out who's making connections with social media, what they're talking about, or where they're located? This concise and practical book shows you how to answer these questions and more. You'll learn how to combine social web data, analysis techniques, and visualization to help you find what you've been looking for in the social haystack, as well as useful information you didn't know existed. Each standalone chapter introduces techniques for mining data in different areas of the social Web, including blogs and email. All you need to get started is a programming background and a willingness to learn basic Python tools. * Get a straightforward synopsis of the social web landscape * Use adaptable scripts on GitHub to harvest data from social network APIs such as Twitter, Facebook, and LinkedIn * Learn how to employ easy-to-use Python tools to slice and dice the data you collect * Explore social connections in microformats with the XHTML Friends Network * Apply advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection * Build interactive visualizations with web technologies based upon HTML5 and JavaScript toolkits "Let Matthew Russell serve as your guide to working with social data sets old (email, blogs) and new (Twitter, LinkedIn, Facebook). Mining the Social Web is a natural successor to Programming Collective Intelligence: a practical, hands-on approach to hacking on data from the social Web with Python." --Jeff Hammerbacher, Chief Scientist, Cloudera "A rich, compact, useful, practical introduction to a galaxy of tools, techniques, and theories for exploring structured and unstructured data." --Alex Martelli, Senior Staff Engineer, Google

Other books

Other people who viewed this bought | Other books in this category
Showing items 1 to 10 of 10


Reviews | Bibliographic data
  • Full bibliographic data for Mining the Social Web

    Mining the Social Web
    Unlocking the Data within Facebook, Twitter and Other Sites
    Authors and contributors
    By (author) Matthew A. Russell
    Physical properties
    Format: Paperback
    Number of pages: 358
    Width: 178 mm
    Height: 230 mm
    Thickness: 20 mm
    Weight: 599 g
    ISBN 13: 9781449388348
    ISBN 10: 1449388345

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    B&T Book Type: NF
    B&T Modifier: Region of Publication: 01
    B&T Modifier: Academic Level: 05
    B&T Modifier: Subject Development: 06
    DC22: 006.312
    B&T Modifier: Text Format: 01
    B&T Merchandise Category: COM
    Ingram Subject Code: XB
    B&T Approval Code: A93661400
    LC subject heading:
    Warengruppen-Systematik des deutschen Buchhandels: 16360
    LC subject heading:
    BISAC V2.8: COM060140
    LC subject heading:
    B&T General Subject: 233
    LC subject heading: ,
    BISAC V2.8: COM021030
    DC22: 006.3/12
    BIC subject category V2: UNF
    LC classification: QA76.9.D343 R87 2011
    Thema V1.0: UNF
    Illustrations note
    1, black & white illustrations
    O'Reilly Media, Inc, USA
    Imprint name
    O'Reilly Media, Inc, USA
    Publication date
    15 February 2011
    Publication City/Country
    Author Information
    Matthew A. Russell is a computer scientist who currently lives in Franklin, TN. Hacking and writing are two activities essential to his renaissance man regimen.
    Review quote
    "Kurz gesagt: Das Buch ist einfach toll [...]." - schockwellenreiter.de, März 2011