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Thursday, February 25, 2016 at 11:54am.
pdxrlang meetup: NLP meets Politics-Experiments w/ Word-Vectors and 2016 Campaign Debate Rhetoric
Access Notes
You'll need to check in with the Mozilla office front desk, on the third floor. The elevators lock at 6pm, but when there's an evening event scheduled, they should stay open until 7pm.
Doors are open at bottom, take elevator to 3rd floor, door should be open for suite 320
Website
Description
Speaker: Winston Saunders
Abstract: Word vectors, derived by deep learning algorithms applied to billions of words of text, provide powerful semantic models of language. Code in R, demonstrating [queen] + [man] - [woman] ~ [King] to about 90% accuracy will be reviewed. Building first on exploratory "bag of words" analysis of Presidential debate texts, we'll explore, using pre-computed GloVe vectors (Pennington et al http://nlp.stanford.edu/projects/glove/), relationships like [sanders] + [trump] - [clinton] ~ [cruz] and how candidate positions align to rhetorical sentiment like [government] + [people] - [tax]. This analysis is work in progress. We'll also test empirical limits (aka failed experiments). Active feedback is both sought and welcome.
Details:
Doors open ~6 pm, talk starts at 6:30 pm
Doors are open at bottom, take elevator to 3rd floor, door should be open for suite 320
We'll visit a local watering hole afterwards.