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TZOFFSETFROM:-0500
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DTSTART:20200308T070000
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DTSTART:20191103T060000
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UID:69b2e7a3970c4
DTSTART;TZID=America/Toronto:20200526T100000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-analysis-textual-and-non-textual
LOCATION:Online 200 University Avenue West Waterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation: Analysis of Textual and Non-Textual
 \nSources of Sentiment in GitHub
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL BE GIVEN 
 ONLINE.\n\nNALIN DE ZOYSA\, MASTER’S CANDIDATE\n_David R. Cheriton Scho
 ol of Computer Science_\n\nGitHub is a collaborative platform that is used
  primarily for the\ndevelopment of software. In order to gain more insight
  into how teams\nwork on GitHub\, we wish to analyze the sentiment content
  available via\ncommunication on the platform.
DTSTAMP:20260312T161947Z
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