Creating word embeddings using word2vec
Details
Speaker:
Milton Huang. Milton is a former psychiatrist and EEG analyst who now codes Amazon Alexa skills and explores natural language interfaces.
Abstract:
This talk will explore word embeddings: representing textual data in a multidimensional space that allows us to find geometric relationships between words. We will talk about how this model gives us relationships between words and meaning, specifically using the word2vec algorithm. I will demonstrate how to run it on a corpus and look at the results in real time.
We will assume a basic understanding of neural networks.
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Parking info:
The easiest parking option is to park in lot 71 on Inter-Garrison Rd. at the intersection of Inter-Garrison and 6th Ave. Unfortunately, you will need to pay for parking, using the yellow box that you see as you enter the lot.