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Loading... Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn,…by Matthew A. Russell
![]() None No current Talk conversations about this book. ![]() ![]() ![]() ![]() I haven't tried and tested every snippet of information in the book. However, for the material where I did dig deeper (Twitter) it provided the keys I needed to unlock some of the barriers that had previously obstructed me. It is worth skimming through the whole book to soak in the wider concepts but, if you are interested in one or more of the social web gateways discussed and want to start exploring it programmatically, it gets both thumbs up. ![]() Who speaks to whom, who says what about what, how many people talk about what. Information that marketers want, the information underlying the altmetrics movement in academia, and it would appear, the various security agencies. Mapping out interactions is not new, the Republic of Letters project did much the same by analysing the correspondence of eighteenth century savants, but it is both the scale of the social web and the complexities of the analyses made possible by cheap processing power. This book covers the major social networks such as Twitter, LinkedIn, Facebook, and Google+, with an emphasis on Twitter. The author also discusses mailbox corpus creation and analysis, and the analysis of semantic web data, and also interestingly, GitHub as a social platform. This book is not a book for the dilettante. More than half the text consists of Python code and the reader really needs to work with the code examples to gain full value from the book. The book also provides a rapid introduction to OAuth, and ranges over topics as diverse as simple text analysis, cluster analysis, natural language processing, and the use of applications such as MongoDB. This is however a very good book for anyone seeking to work with the social web and would serve as a very useful primer or as a textbook for a module on data mining. The code examples are clear and nicely structured, making them easy to follow and work with. no reviews | add a review
Facebook, 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 book shows you how to answer these questions and more. Each chapter introduces techniques for mining data in different areas of the social web, including blogs and email. No library descriptions found. |
LibraryThing Early Reviewers AlumMatthew A. Russell's book Mining the Social Web, 2nd Edition was available from LibraryThing Early Reviewers. Popular covers
![]() GenresMelvil Decimal System (DDC)006.312 — Information Computing and Information Special Topics Artificial Intelligence Machine LearningLC ClassificationRatingAverage:![]()
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