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DTSTART:20170312T070000
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UID:69b24c01e0782
DTSTART;TZID=America/Toronto:20171211T093000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20171211T093000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-affective-sentiment-and
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2314 Waterloo ON N2L 3G1 Canada
SUMMARY:Master's Thesis Presentation: Affective Sentiment and Emotional\nAn
 alysis of Pull Request Comments on GitHub
CLASS:PUBLIC
DESCRIPTION:Speaker: Deepak Rishi\, Master's Candidate\n\nSentiment and emo
 tional analysis on online collaborative software\ndevelopment forums can b
 e very useful to gain important insights into\nthe behaviours and personal
 ities of the developers. Such information\ncan later on be used to increas
 e productivity of developers by making\nrecommendations on how to behave b
 est in order to get a task\naccomplished. However\, due to the highly tech
 nical nature of the data\npresent in online collaborative software develop
 ment forums\, mining\nsentiments and emotions becomes a very challenging t
 ask.
DTSTAMP:20260312T051545Z
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