Author: DH Now

According to Google Scholar, David Blei’s first topic modeling paper has received 3,540 citations since 2003. Everybody’s talking about topic models. Seriously, I’m afraid of visiting my parents this Hanukkah and hearing them ask “Scott… what’s this topic modeling I keep hearing all about?” They’re powerful, widely applicable, easy to use, and difficult to understand — a dangerous combination.

Since shortly after Blei’s first publication, researchers have been looking into the interplay between networks and topic models. This post will be about that interplay, looking at how they’ve been combined, what sorts of research those combinations can drive, and a few pitfalls to watch out for.

I thought, why not map the places that had Wikipedia articles associated with them, to see what patterns emerged.  The results of this excursion are presented below.

DBpedia is the ongoing attempt to transform Wikipedia into a semantically rich and queryable database of human knowledge.  It stores much of the categorical information found in Wikipedia articles using RDF triples–simple links for every snippet of data, from the death date of a famous (and sometimes even real) person to the season number of every Simpsons episode, to the latitude and longitude of over half a million articles on a wide variety of subjects.

Jon is the director of the Bill Lane Center for the American West, and he brought with him two undergraduate research assistants,  Jenny Rempel