@article {blei_topic_2013,
	title = {Topic Modeling and Digital Humanities},
	journal = {Journal of Digital Humanities},
	volume = {2},
	number = {1},
	year = {2013},
	note = {00000},
	abstract = {Blei{\textquoteright}s begins his article with a savvy and concise definition of topic modelling: "a suite of algorithms to discover hidden thematic structure in large collections of texts. The results of topic modeling algorithms can be used to summarize, visualize, explore, and theorize about a corpus." Topic modelling, unlike other methods of data mining, does not require that the researcher identify the topics or categories but rather the algorithm uncovers this structure. Topic modelling is one mode of a larger field called "probabilistic modelling." Blei ends by producing a potential humanities research scenario where using topic modelling would be a useful practice.  },
	keywords = {Beginnings, No. 1 Winter 2012, Vol. 2},
	url = {http://journalofdigitalhumanities.org/2-1/topic-modeling-and-digital-humanities-by-david-m-blei/},
	author = {Blei, David M.}
}