id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10921	Ozeran, Megan; Martin, Piper	“Good Night, Good Day, Good Luck”	2019-06-17	9	.pdf	application/pdf	4709	309	60	This article presents the results of a pilot project that tested the application of algorithmic topic could inform library services beyond chat reference training. The library at the University of Illinois at Urbana-Champaign has included chat reference services pilot project that tested the application of algorithmic topic modeling to chat conversations. most common chat reference topics in a semester; and (2) whether this information indicated if it algorithms to chat reference conversations at Rockhurst University.6 Kohler identified the Topic 7 thank look librari remov help would contact inform find like Topic 1 work open chat way onlin say specif avail day sourc modeling algorithm for library chat reference. optimum topic model implementation is found for chat reference. For the most part, the more coherent results from the LDA and NMF topic modeling algorithms the chat reference service at the main library, are examining the model outputs to determine 	./cache/10921.pdf	./txt/10921.txt