@article {yu_evaluation_2008,
	title = {An evaluation of text classification methods for literary study},
	journal = {Literary and Linguistic Computing},
	volume = {23},
	number = {3},
	year = {2008},
	note = {00053},
	month = {sep},
	pages = {327{\textendash}343},
	abstract = {In this article, Bei Yu tests the accuracy and consistency of using computational algorithms to classify literary texts based on subject. Yu argues that even though algorithms have been critically examined in the past the test data sets are almost always non-literary prose. Yu{\textquoteright}s experiments set forth a new challenge in using poetry and fictional monographs to examine the usefulness of Na{\"\i}ve Bayes and SVM algorithms. The experiment looks at the classification of texts are erotic/non-erotic and sentimental/non-sentimental. Feature reduction, stopwords, and stemming are all taken into consideration across the study{\textquoteright}s experiments. },
	issn = {0268-1145, 1477-4615},
	doi = {10.1093/llc/fqn015},
	url = {http://llc.oxfordjournals.org/content/23/3/327},
	author = {Yu, Bei}
}