For our last meetup of the year we have Adam Obeng talking text analysis and writing R packages.

About the Talk:

quantedais a package for the quantitative analysis of textual data, with a particular focus on methods used in political science. When I started contributing to quanteda six months ago, I had never written an R package before, I didn't know anything about text analysis in political science (some might say I still don't).

Join me for an exploration of the features of quanteda 1.0, which creates text corpora, and extracts and analyses their features. It implements natural language processing functionality, scales document positions, creates topic models and does correspondence analysis. It slices! It dices! It can quantify how polarised your politicians happen to be!

Along the way, I'll also share some of the unexpected challenges of developing an R package, from git workflow, to best practices in naming things (the Second Hard Problem of Computer Science), to handling really, really obscure text encodings.

About Adam:

AdamObengis a sociologist of science and a computational social scientist, which is kind of like a data scientist except he hasn't quite graduated yet (PhD Sociology, Columbia (expected 2017)). He learnt R from our own Jared Lander [Adam wrote this bio] and since then has used his powers to help Microsoft to conduct polls and Twitter to fight trolls. In his spare time, Adam likes lifting things, climbing up things, and programming reallysillythings.

Pizzabegins at 6:30, the talks start at 7, then after we head to the local bar.

We will do our best tolivestreamthe meetup again so checkoutYouTube Live.

Thank you toeBay NYCfor hosting us again.

Thank you to our new sponsorSlice, helping us bring pizza to statistical programming.