Mining the Social Web：Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

作者: Matthew A. Russell 著

出版社: O'Reilly Media

出版时间: 2013-10

版次: 2

ISBN: 9781449367619

定价: 553.30

装帧: 平装

开本: 其他

纸张: 其他

页数: 448页

正文语种: 英语

分类: 外文古旧书>英文书>计算机与互联网

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Howcanyoutapintothewealthofsocialwebdatatodiscoverwho’smakingconnectionswithwhom,whatthey’retalkingabout,andwherethey’relocated?Withthisexpandedandthoroughlyrevisededition,you’lllearnhowtoacquire,analyze,andsummarizedatafromallcornersofthesocialweb,includingFacebook,Twitter,LinkedIn,Google+,GitHub,email,websites,andblogs.EmploytheNaturalLanguageToolkit,NetworkX,andotherscientificcomputingtoolstominepopularsocialwebsitesApplyadvancedtext-miningtechniques,suchasclusteringandTF-IDF,toextractmeaningfromhumanlanguagedataBootstrapinterestgraphsfromGitHubbydiscoveringaffinitiesamongpeople,programminglanguages,andcodingprojectsBuildinteractivevisualizationswithD3.js,anextraordinarilyflexibleHTML5andJavaScripttoolkitTakeadvantageofmorethantwo-dozenTwitterrecipes,presentedinO’Reilly’spopular"problem/solution/discussion"cookbookformatTheexamplecodeforthisuniquedatasciencebookismaintainedinapublicGitHubrepository.It’sdesignedtobeeasilyaccessiblethroughaturnkeyvirtualmachinethatfacilitatesinteractivelearningwithaneasy-to-usecollectionofIPythonNotebooks. MatthewRussell,ChiefTechnologyOfficeratDigitalReasoning,PrincipalatZaffra,andauthorofseveralbooksontechnologyincludingMiningtheSocialWeb(O'Reilly,2013),nowinitssecondedition.Heispassionateaboutopensourcesoftwaredevelopment,datamining,andcreatingtechnologytoamplifyhumanintelligence.MatthewstudiedcomputerscienceandjumpedoutofairplanesattheUnitedStatesAirForceAcademy.Whennotsolvinghardproblems,heenjoyspracticingBikramHotYoga,CrossFittingandparticipatingintriathlons.
内容简介:
Howcanyoutapintothewealthofsocialwebdatatodiscoverwho’smakingconnectionswithwhom,whatthey’retalkingabout,andwherethey’relocated?Withthisexpandedandthoroughlyrevisededition,you’lllearnhowtoacquire,analyze,andsummarizedatafromallcornersofthesocialweb,includingFacebook,Twitter,LinkedIn,Google+,GitHub,email,websites,andblogs.EmploytheNaturalLanguageToolkit,NetworkX,andotherscientificcomputingtoolstominepopularsocialwebsitesApplyadvancedtext-miningtechniques,suchasclusteringandTF-IDF,toextractmeaningfromhumanlanguagedataBootstrapinterestgraphsfromGitHubbydiscoveringaffinitiesamongpeople,programminglanguages,andcodingprojectsBuildinteractivevisualizationswithD3.js,anextraordinarilyflexibleHTML5andJavaScripttoolkitTakeadvantageofmorethantwo-dozenTwitterrecipes,presentedinO’Reilly’spopular"problem/solution/discussion"cookbookformatTheexamplecodeforthisuniquedatasciencebookismaintainedinapublicGitHubrepository.It’sdesignedtobeeasilyaccessiblethroughaturnkeyvirtualmachinethatfacilitatesinteractivelearningwithaneasy-to-usecollectionofIPythonNotebooks.
作者简介:
MatthewRussell,ChiefTechnologyOfficeratDigitalReasoning,PrincipalatZaffra,andauthorofseveralbooksontechnologyincludingMiningtheSocialWeb(O'Reilly,2013),nowinitssecondedition.Heispassionateaboutopensourcesoftwaredevelopment,datamining,andcreatingtechnologytoamplifyhumanintelligence.MatthewstudiedcomputerscienceandjumpedoutofairplanesattheUnitedStatesAirForceAcademy.Whennotsolvinghardproblems,heenjoyspracticingBikramHotYoga,CrossFittingandparticipatingintriathlons.

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Mining the Social Web：Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More

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