BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20170312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20161106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b3e2af31217
DTSTART;TZID=America/Toronto:20170801T130000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20170801T130000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-defence-s
 ocio-mathematical-and-structured-based-approach
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Defence: A Socio-mathematical and Structured-based Approach to\
 nModel Sentiment Dynamics in Event-based Text
CLASS:PUBLIC
DESCRIPTION:Speaker: Areej Alhothali\, PhD Candidate\n\nNatural language te
 xts are often meant to express or impact\nindividuals emotions. Sentiment 
 analysis researchers are increasingly\ninterested in investigating natural
  language processing techniques as\nwell as emotions theories to classify 
 sentiments expressed in natural\nlanguage text. Most sentiment analysis re
 search effort focuses on\nclassifying highly opinionated documents from th
 e writer's\nperspectives and uses either count-based word representations 
 that\nignore sentence structure or a small set of lexicon resources that d
 o\nnot cover the wide range of words used on the Internet.
DTSTAMP:20260313T101055Z
END:VEVENT
END:VCALENDAR