2026-09-19T04:41:28Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81554 2023-07-11 col_2142_5131 col_2142_8951 com_2142_5130 com_2142_8950 com_2142_150

Twidale, Michael B. Rathi, Dinesh 2015-09-25T20:17:14Z 2015-09-25T20:17:14Z 10000-01-01 2008 2008 This work also outlines different pre-processing steps done on email from the help desk domain, such as removal of different types of noise elements and removal of stop words using a customized stop word list, and the outcome of each of these pre-processing steps. Made available in DSpace on 2015-09-25T20:17:14Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314870.pdf: 5223884 bytes, checksum: 63dcc2c5903e78420a3600e13051e15c (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 82835 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 381 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81554 (MiAaPQ)AAI3314870 eng Library Science Mining Help Desk Emails for Problem Domain Identification and Email Feature Engineering for Routing Incoming Emails text Library and Information Science Library and Information Science University of Illinois at Urbana-Champaign Dissertation Ph.D.