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TZOFFSETFROM:-0500
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DTSTART:20040404T070000
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DTSTART:20041031T060000
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UID:69ba830b638f0
DTSTART;TZID=America/Toronto:20050212T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20050212T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-se
 ntiment-classification-approach-using-stacked
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: A sentiment classification approach using stacked\nsupe
 rvised learning incorporating web mined features
CLASS:PUBLIC
DESCRIPTION:Speaker: Rejean Lau (University of Alberta)\n\nSentiment classi
 fication is a form of the text categorization problem\nwhere user sentimen
 t is categorized as either positive or negative\nsentiment. It is generall
 y accepted that sentiment analysis is a more\nchallenging classification p
 roblem then topic categorization and here\nthe bag of words approach does 
 not perform as well. Using the IMDB\nsentiment dataset from Cornell Univer
 sity\, we improve on their results\nby using a stacked classifier and web-
 mined features.
DTSTAMP:20260318T104843Z
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