Mining the Social Web

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How can you tap into the wealth of social web data to discover whos making connections with whom, what theyre talking about, and where theyre located? With this expanded and thoroughly revised edition, youll learn how to acquire, analyze, and summar…

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    Om Mining the Social Web

    How can you tap into the wealth of social web data to discover whos making connections with whom, what theyre talking about, and where theyre located? With this expanded and thoroughly revised edition, youll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn, Google+, GitHub, email, websites, and blogs.Employ the Natural Language Toolkit, NetworkX, and other scientific computing tools to mine popular social web sitesApply advanced text-mining techniques, such as clustering and TF-IDF, to extract meaning from human language dataBootstrap interest graphs from GitHub by discovering affinities among people, programming languages, and coding projectsBuild interactive visualizations with D3.js, an extraordinarily flexible HTML5 and JavaScript toolkitTake advantage of more than two-dozen Twitter recipes, presented in OReillys popular "problem/solution/discussion" cookbook formatThe example code for this unique data science book is maintained in a public GitHub repository. Its designed to be easily accessible through a turnkey virtual machine that facilitates interactive learning with an easy-to-use collection of IPython Notebooks.

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    Detaljer

    Format
    E-Bok
    Kopisperre
    Teknisk DRM
    Filformat
    ePUB
    Utgivelsesår
    2013
    Forlag
    O'Reilly Media
    Språk
    Engelsk
    ISBN
    9781449368210
    Sider
    448

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