@article {schmidt_words_2012,
	title = {Words Alone: Dismantling Topic Models in the Humanities},
	journal = {Journal of Digital Humanities},
	volume = {2},
	number = {1},
	year = {2012},
	note = {00000},
	abstract = {Schmidt argues that simplifying topic models of humanities data "creates an enormous potential for groundless {\textemdash} or even misleading {\textemdash} {\textquoteright}insights.{\textquoteright}" The potential for erroneous insights comes from humanities scholars believing assumptions that are only partially true about topic models: that they are coherent and that they are stable. When these assumptions hold true there is great opportunity to understand the words in a massive corpora. However, Schmidt argues that topics must be interrogated because their results are not often as coherent as they seem.  Schmidt suggest using graphics to represent topic model outputs because visualizations can simplify the data; he mentions Elijah Meeks{\textquoteright} work on organizing topic models as word clouds. In conclusion, "Even when humanists understand the mechanics of LDA perfectly", Schmidt suggests that "they will not be able to engage with their fellow scholars about them effectively. That is a high price to pay." Therefore, it is important to consider research using data, done simply, in order to broaden the potential audience. },
	keywords = {Applications and Critiques, No. 1 Winter 2012, Vol. 2},
	url = {http://journalofdigitalhumanities.org/2-1/words-alone-by-benjamin-m-schmidt/},
	author = {Schmidt, Benjamin M.}
}