@article {graham_review_2012,
	title = {Review of MALLET, produced by Andrew Kachites McCallum},
	journal = {Journal of Digital Humanities},
	volume = {2},
	number = {1},
	year = {2012},
	note = {00000},
	abstract = {MALLET, or MAchine Learning for LanguagE Toolkit, is an application that use topic modelling. Graham and Milligan argue that MALLET and topic modelling in general "have wide appeal across the digital humanities." Topic modelling can handle large collections of textual data but is still able to produce a close analysis of the material. Graham and Milligan assert, however, that MALLET data outputs can be difficult to understand and that organizing results in a network may be more conducive to humanities interpretations. Graham and Milligan note that the biggest issues with MALLET are its steep learning curve and its lack of inherent documentation - both of which raise methodological concerns. In order to remedy these concerns, Graham and Milligan cite a MALLET-user community that provides support for novice users. },
	keywords = {No. 1 Winter 2012, Reviews, Vol. 2},
	url = {http://journalofdigitalhumanities.org/2-1/review-mallet-by-ian-milligan-and-shawn-graham/},
	author = {Graham, Shawn and Milligan, Ian}
}