In my last post I looked at how charities are using Facebook to post content and engage with their fans (and hopefully donors). At the end of the post I started to have a look at some text based analysis and sentiment to see how often donations were being mentioned or solicited and how positive, negative or neutral posts were over time.
I thought for the next post in the series it might be worthwhile having a brief look at different keywords that might get used within posts and the importance of those words to the three charities I had chosen to look at.
One of the things that amazes me about R is the incredible eco-system of packages that are available to make data analysis easier, and sometimes to even just make things that little more aesthetically pleasing that what base R plots can provide.
Much of what is posted within this blog is leveraging the incredible skills of people like Hadley Wickham, Yihui Xie, and Bob Rudis to name just a few. One of the great things about having such a rich eco-system, is that if there’s ever anything you’re wanting to do someone may have already written a package to help you do it.