May 2017
Beginner to intermediate
394 pages
8h 50m
English
book
Learning Social Media Analytics with R
by Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma
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Revisiting analytics workflow
As discussed in detail in Chapter 1, Getting Started with R and Social Media Analytics (see A typical social media analytics workflow), we defined some key steps involved in the analysis of data from different social networks. Continuing with the same theme for Twitter, the different use cases we will work on in the next sections can also be broken down into the following key steps:
- Data access
- Data processing and normalization
- Data analysis
- Insights
The data access step involves understanding the APIs and their corresponding R packages to tap into the social network. We've already talked about creating a Twitter app and did a quick connect and extraction of tweets using R. Each of the following sections will make use ...
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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.Julian F.
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.