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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Canada/Eastern
BEGIN:DAYLIGHT
DTSTART:20200308T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
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BEGIN:STANDARD
DTSTART:20201101T010000
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BEGIN:VEVENT
DTSTAMP:20200722T221153Z
UID:6EA38331-C3C1-4F93-B67B-17BC67DD228E
DTSTART;TZID=Canada/Eastern:20200715T180000
DTEND;TZID=Canada/Eastern:20200715T200000
DESCRIPTION:Introduction to Natural Language Processing (NLP) for Classific
 ation Task is a series of workshops hosted by IEEE Toronto Section\, WIE\,
  Computational Intelligence Society\, Instrumentation\n\nMeasurement/Robot
 ics Automation Chapter and Ryerson Advanced AI lab.\nOur main goal is to g
 et started on NLP classification tasks for competition and explore duplica
 te question detection and sentiment analysis tasks. In the second session\
 , we will introduce the concept of deep learning\, and then specifically f
 ocus on Natural Language Process. We will also introduce Kaggle Account as
  an environment for python coding.\n\nOnline via Zoom\, Toronto\, Ontario\
 , Canada
LOCATION:Online via Zoom\, Toronto\, Ontario\, Canada
ORGANIZER:ayda.naserialiabadi@ryerson.ca
SEQUENCE:3
SUMMARY:Introduction to NLP for Classification Task - Session 2
URL;VALUE=URI:https://events.vtools.ieee.org/m/235444
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Introduction to Natural Language Processin
 g (NLP) for Classification Task is a series of workshops hosted by IEEE To
 ronto Section\, WIE\, Computational Intelligence Society\, Instrumentation
 &amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;Measurement/Robotics Automation Chapter and Ryerson Advanc
 ed AI lab.&lt;br /&gt;Our main goal is to get started on NLP classification task
 s for competition and explore duplicate question detection and sentiment a
 nalysis tasks. In the second session\, we will introduce the concept of de
 ep learning\, and then specifically focus on Natural Language Process. We 
 will also introduce Kaggle Account as an environment for python coding.&lt;/p
 &gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;
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END:VCALENDAR

