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Change #38016
2016-02-25
11:54:13
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1250469878
pdxrlang meetup: NLP meets Politics-Experiments w/ Word-Vectors and 2016 Campaign Debate Rhetoric
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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. |
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2016-04-05 20:00:00 -0700 |
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1250469878 |
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2016-04-05 18:30:00 -0700 |
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pdxrlang meetup: NLP meets Politics-Experiments w/ Word-Vectors and 2016 Campaign Debate Rhetoric |
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http://pdxrlang.com/ |
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Doors are open at bottom, take elevator to 3rd floor, door should be open for suite 320 |
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202393905 |
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