January 2019
Beginner to intermediate
426 pages
11h 4m
English
Content preview from Mining the Social Web, 3rd Edition
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Chapter 1. Mining Twitter: Exploring Trending Topics, Discovering What People Are Talking About, and More
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.
Tip
Always get the latest bug-fixed source code for this chapter (and every other chapter) on GitHub. Be sure to also take advantage of this book’s virtual machine experience, as described in Appendix A, to maximize your enjoyment of the sample code.
Overview
In this chapter, we’ll ease into the process of getting situated with a minimal (but effective) development environment with Python, survey Twitter’s API, and distill some analytical insights from tweets using frequency analysis. Topics that you’ll learn about in this chapter include:
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Twitter’s developer platform and how to make API requests
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Tweet metadata and how to use it
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Extracting entities such as user mentions, hashtags, and URLs from tweets
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Techniques for performing frequency analysis with Python
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Plotting histograms of Twitter data with the Jupyter Notebook
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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.Addison B.
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.Amir M.
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.
Why Is Twitter All the Rage?
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