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TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20060402T070000
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DTSTART:20061029T060000
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UID:69b6febd7a9da
DTSTART;TZID=America/Toronto:20070209T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20070209T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-en
 hancing-text-clustering-using-concept-based
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Enhancing text clustering using concept-based mining mo
 del
CLASS:PUBLIC
DESCRIPTION:Speaker: Shady Shehata\n\nMost of text data mining techniques a
 re based on either a word\nanalysis or phrase analysis of the text. The st
 atistical analysis of a\nterm (word or phrase) frequency captures the impo
 rtance of the term\nwithin a document. However\, to achieve a more accurat
 e analysis\, the\nunderlying mining technique should indicate terms that c
 apture the\nsemantics of the text from which the importance of a term in a
 \nsentence and in the document can be derived.
DTSTAMP:20260315T184725Z
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