How can you tap into the wealth of social web data to discover whoโs making connections with whom, what theyโre talking about, and where theyโre located? With this expanded and thoroughly revised edition, youโll learn how to acquire, analyze, and summarize data from all corners of the social web, in
Mining the Social Web, 2nd Edition: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More
โ Scribed by Matthew A. Russell
- Publisher
- O'Reilly Media
- Year
- 2013
- Tongue
- English
- Leaves
- 448
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
How can you tap into the wealth of social web data to discover who's making connections with whom, what they're talking about, and where they're located? With this expanded and thoroughly revised edition, you'll 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. The example code for this unique data science book is maintained in a public GitHub repository. It's 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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How can you tap into the wealth of social web data to discover whoโs making connections with whom, what theyโre talking about, and where theyโre located? With this expanded and thoroughly revised edition, youโll learn how to acquire, analyze, and summarize data from all corners of the social web, in
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This book will teach you a few things that youโll be thankful to learn and will add a few indispensable tools to your toolbox, but perhaps even more importantly, it will tell you a story and entertain you along the way. Itโs a story about data science involving social websites, the data thatโs tucke
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