January 2019
Beginner to intermediate
426 pages
11h 4m
English
Content preview from Mining the Social Web, 3rd Edition
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Part II. Twitter Cookbook
Whereas Part I of this book provided a fairly broad overview of a number of social web properties, the remaining chapter comes back full circle to where we started in Part I with Twitter. It is organized as a cookbook and features more than two dozen bite-sized recipes for mining Twitter data. Twitter’s accessible APIs, inherent openness, and rampant worldwide popularity make it an ideal social website to zoom in on, but this part of the book aims to create some atomic building blocks that are highly composable to serve a wide variety of purposes. It is designed to narrow the focus on a common set of small problems that you can adapt to other social web properties. Just like any other technical cookbook, these recipes are organized in an easy-to-navigate problem/solution format, and as you are working through them, you are sure to come up with interesting ideas that involve tweaks and modifications.
You are highly encouraged to have as much fun with these recipes as possible, and as you come up with any clever recipes of your own, consider sharing them back with the book’s community by sending a pull request to its GitHub repository, tweeting about it (mention @SocialWebMining if you want a retweet), or posting about it on Mining the Social Web’s Facebook page.
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