October 2013
Beginner to intermediate
444 pages
12h 45m
English
Content preview from Mining the Social Web, 2nd EditionBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More
This chapter kicks off our journey of mining the social web with Twitter, a rich source of social data that is a great starting point for social web mining because of its inherent openness for public consumption, clean and well-documented API, rich developer tooling, and broad appeal to users from every walk of life. Twitter data is particularly interesting because tweets happen at the “speed of thought” and are available for consumption as they happen in near real time, represent the broadest cross-section of society at an international level, and are so inherently multifaceted. Tweets and Twitter’s “following” mechanism link people in a variety of ways, ranging from short (but often meaningful) conversational dialogues to interest graphs that connect people and the things that they care about.
Since this is the first chapter, we’ll take our time acclimating to our journey in social web mining. However, given that Twitter data is so accessible and open to public scrutiny, Chapter 9 further elaborates on the broad number of data mining possibilities by providing a terse collection of recipes in a convenient problem/solution format that can be easily manipulated and readily applied to a wide range of problems. You’ll also be able to apply concepts from future chapters to Twitter data.
Note
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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.