@techreport{TD:101835,
	att_abstract={{}},
	att_authors={cf5264, ks970b, ww727g},
	att_categories={},
	att_copyright={{}},
	att_copyright_notice={{}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={Domain Names,  Latent Dirichlet Allocation (LDA),  Text Mining,  Topic Models,  Word Segmentation},
	att_techdoc={true},
	att_techdoc_key={TD:101835},
	att_url={http://web1-clone.research.att.com:81/techdocs_downloads/TD:101835_DS1_2016-07-15T17:57:51.389Z.pdf},
	author={Cheryl Flynn and Kenneth Shirley and Wei Wang},
	institution={{New York Women in Machine Learning & Data Science Meet-up}},
	month={June},
	title={{Slides: Deconstructing Domain Names to Reveal Latent Topics}},
	year=2016,
}